Instalacion NILMTK con Anaconda 2021


EL NILM o Non-Intrusive Load Monitoring, es decir la desagregación no intrusiva de la demanda . es una técnica computacional para la estimación del consumo individual de diversos dispositivos utilizando para ello la lectura agregada de un único medidor de energía (Smart Meter, SM). Gracias a las ventajas en cuanto instalación , coste e implementación, éste concepto ha tomado relevancia en los últimos años en el ámbito de las Smart Grids, al aportar una estimación de los hábitos de consumo de los clientes sin la necesidad de un despliegue masivo de contadores inteligentes en cada punto de consumo.

En este contexto vamos a ver una herramienta o toolkit open software llamado NILMTK que nos va a ayudar a comparar algoritmos para implementar la desagregación ( además particularmente no contempla un uso diferente a este)

Para el análisis de la desagregación , necesitamos recolectar datos del consumo centralizado , lo cual nos va permitir a creación de un nuevo dataset el cual puede ser analizado usando las funciones de NILMTK lo que permite, por ejemplo, visualizar los datos de potencia en un determinado periodo u obtener estadísticas de energía del dataset.

Posteriormente, en la etapa de preprocesamiento se toman decisiones en línea con los análisis realizados, con el objetivo de preparar correctamente los datos para del entrenamiento de los modelos de desagregación. Básicamente, el entrenamiento de un modelo consiste en enseñarle a reconocer por separado las características de los dispositivos para luego identificarlos dentro de una señal agregada. El entrenamiento contempla el uso de los algoritmos Combinatorial Optimization (CO) y Factorial Hidden Markov Model (FHMM).

El formato de almacenamiento de datos HDF5

HDF5 es un formato de datos jerárquico que se usar en el NILMTK como fuente datos basado en HDF4 y NetCDF (otros dos formatos de datos jerárquicos).El formato de datos jerárquico, versión 5 (HDF5), es un formato de archivo de código abierto que admite datos grandes, complejos y heterogéneos. HDF5 utiliza una estructura similar a un “directorio de archivos” que le permite organizar los datos dentro del archivo de muchas formas estructuradas diferentes, como lo haría con los archivos en su computadora. El formato HDF5 también permite la incrustación de metadatos, lo que lo hace autodescriptivo .

Las organizaciones utilizan HDF5 para diversas necesidades de datos, acceso, informática y redes.

Estructura jerárquica: un directorio de archivos dentro de un archivo

El formato HDF5 se puede considerar como un sistema de archivos contenido y descrito en un solo archivo. Piense en los archivos y carpetas almacenados en su computadora. Es posible que tenga un directorio de datos con algunos datos de temperatura para varios sitios de campo. Estos datos de temperatura se recopilan cada minuto y se resumen cada hora, día y semana. Dentro de un archivo HDF5, puede almacenar un conjunto de datos similar organizado de la misma manera que podría organizar archivos y carpetas en su computadora. Sin embargo, en un archivo HDF5, lo que llamamos “directorios” o “carpetas” en nuestras computadoras, se llaman groupsy lo que llamamos archivos en nuestra computadora datasets.

2 Términos importantes de HDF5

  • Grupo: un elemento similar a una carpeta dentro de un archivo HDF5 que puede contener otros grupos O conjuntos de datos dentro de él.
  • Conjunto de datos: los datos reales contenidos en el archivo HDF5. Los conjuntos de datos se almacenan a menudo (pero no es necesario) dentro de grupos en el archivo.
Una ilustración de una estructura de archivo HDF5 que contiene grupos, conjuntos de datos y metadatos asociados
Un ejemplo de estructura de archivo HDF5 que contiene grupos, conjuntos de datos y metadatos asociados.

Un archivo HDF5 que contiene conjuntos de datos podría estructurarse así:

La ilustración HDF5 de arriba, pero los grupos son sitios NEON y los tipos de sensores y conjuntos de datos se incluyen en los tipos de sensores.
Un ejemplo de estructura de archivo HDF5 que contiene datos para varios sitios de campo y también contiene varios conjuntos de datos (promediados en diferentes intervalos de tiempo).

HDF5 es un formato autodescriptivo

El formato HDF5 es autodescriptivo. Esto significa que cada archivo, grupo y conjunto de datos puede tener metadatos asociados que describen exactamente cuáles son los datos. Siguiendo el ejemplo anterior, podemos incrustar información sobre cada sitio en el archivo, como por ejemplo:

  • El nombre completo y la ubicación X, Y del sitio.
  • Descripción del sitio.
  • Cualquier documentación de interés.

De manera similar, podríamos agregar información sobre cómo se recopilaron los datos en el conjunto de datos, como descripciones del sensor utilizado para recopilar los datos de temperatura. También podemos adjuntar información, a cada conjunto de datos dentro del grupo de sitios, sobre cómo se realizó el promedio y durante qué período de tiempo están disponibles los datos.

Un beneficio clave de tener metadatos adjuntos a cada archivo, grupo y conjunto de datos es que esto facilita la automatización sin la necesidad de un documento de metadatos separado (y adicional). Usando un lenguaje de programación, como R o Python, podemos obtener información de los metadatos que ya están asociados con el conjunto de datos y que podríamos necesitar para procesar el conjunto de datos.

Una ilustración de una estructura de archivos HDF5 con un grupo que contiene dos conjuntos de datos y todos los metadatos asociados
Los archivos HDF5 son autodescriptivos, lo que significa que todos los elementos (el archivo en sí, los grupos y los conjuntos de datos) pueden tener metadatos asociados que describen la información contenida en el elemento.

Subconjunto comprimido y eficiente

El formato HDF5 es un formato comprimido. El tamaño de todos los datos contenidos en HDF5 está optimizado, lo que reduce el tamaño general del archivo. Sin embargo, incluso cuando están comprimidos, los archivos HDF5 a menudo contienen grandes volúmenes de datos y, por lo tanto, pueden ser bastante grandes. Un atributo poderoso de HDF5 es data slicingmediante el cual se puede extraer un subconjunto particular de un conjunto de datos para su procesamiento. Esto significa que no es necesario leer el conjunto de datos completo en la memoria (RAM); muy útil para permitirnos trabajar de manera más eficiente con conjuntos de datos muy grandes (gigabytes o más).

Almacenamiento de datos heterogéneos

Los archivos HDF5 pueden almacenar muchos tipos diferentes de datos dentro del mismo archivo. Por ejemplo, un grupo puede contener un conjunto de conjuntos de datos para contener datos enteros (numéricos) y de texto (cadenas). O bien, un conjunto de datos puede contener tipos de datos heterogéneos (por ejemplo, tanto texto como datos numéricos en un conjunto de datos). Esto significa que HDF5 puede almacenar cualquiera de los siguientes (y más) en un archivo:

  • Datos de temperatura, precipitación y PAR (radiación fotosintética activa) para un sitio o para muchos sitios
  • Un conjunto de imágenes que cubren una o más áreas (cada imagen puede tener asociada información espacial específica, todo en el mismo archivo)
  • Un conjunto de datos espaciales multi o hiperespectral que contiene cientos de bandas.
  • Datos de campo para varios sitios que caracterizan insectos, mamíferos, vegetación y clima.
  • Un conjunto de imágenes que cubren una o más áreas (cada imagen puede tener asociada información espacial única)
  • ¡Y mucho más!

Formato abierto

El formato HDF5 es abierto y de uso gratuito. Las bibliotecas de apoyo (y un visor gratuito) se pueden descargar desde el sitio web de HDF Group . Como tal, HDF5 es ampliamente compatible con una gran cantidad de programas, incluidos lenguajes de programación de código abierto como R y Python, y herramientas de programación comerciales como MatlabIDL. Los datos espaciales que se almacenan en formato HDF5 se pueden utilizar en los programas de SIG y de imagen que incluyen QGISArcGISENVI.

Beneficios de HDF5

  • Autodescripción Los conjuntos de datos con un archivo HDF5 son autodescriptivos. Esto nos permite extraer metadatos de manera eficiente sin necesidad de un documento de metadatos adicional.
  • Admite datos heterogéneos : un archivo HDF5 puede contener diferentes tipos de conjuntos de datos.
  • Admite datos grandes y complejos : HDF5 es un formato comprimido que está diseñado para admitir conjuntos de datos grandes, heterogéneos y complejos.
  • Admite la división de datos: la “división de datos”, o la extracción de partes del conjunto de datos según sea necesario para el análisis, significa que los archivos grandes no necesitan leerse por completo en la memoria o RAM de la computadora.
  • Formato abierto: soporte amplio en las muchas herramientas : debido a que el formato HDF5 es abierto, es compatible con una gran cantidad de lenguajes y herramientas de programación, incluidos lenguajes de código abierto como R y Pythonherramientas SIG abiertas como QGIS.E

Instalación del NILTK

Básicamente aunque NILMTK se puede instalar muy fácilmente en sistemas basados en Linux , es posible instalarlo también desde Windows 11 . Resumidamente necesitaremos instalar Anaconda ( y Git si no lo tiene instalado ) y realizar la identificación de la carga, encontrar el paquete de instalación de NILMTK y registrar el proceso deliberadamente.

Veamos mas en detalle los pasos a seguir:

Instalación de GIT Windows

Hay varias maneras de instalar Git en Windows. La forma más oficial está disponible para ser descargada en el sitio web de Git. Solo tiene que visitar http://git-scm.com/download/win y la descarga empezará automáticamente. Observe que éste proyecto conocido como Git para Windows (también llamado msysGit), es diferente de Git “normal”. Para más información acerca de este proyecto visita http://msysgit.github.io/.

Otra forma de obtener Git fácilmente es mediante la instalación de GitHub para Windows. El instalador incluye la versión de línea de comandos y la interfaz de usuario de Git. Además funciona bien con Powershell y establece correctamente “caching” de credenciales y configuración CRLF adecuada. Puede descargar este instalador del sitio web de GitHub para Windows en http://windows.github.com.

Descarga e instalación de Anaconda

Los entornos virtuales hacen que la organización de paquetes de Python sea pan comido. Además, el proyecto NILMTK ofrece varias versiones de Conda Forge. Primero, consiga Anaconda aquí. 

Seguidamente nos pedira qeu nos registremos
Enseguida empezara la descarga, por lo que nos iremos a la carpeta de Descargas y ejecutaremos el instalador

Ahora deberemos aceptar la licencia para poder proseguir la instalacion

Seleccione una instalación para “Solo yo” a menos que esté instalando para todos los usuarios (lo que requiere privilegios de administrador de Windows) y haga clic en Siguiente.

Seleccione una carpeta de destino para instalar Anaconda y haga clic en el botón Siguiente. Nota: Instale Anaconda en una ruta de directorio que no contenga espacios ni caracteres Unicode..No lo instale como administrador a menos que se requieran privilegios de administrador.

Ahora nos toca Registrar Anaconda3 y mantener por defecto Python 3.8.

A menos que planee instalar y ejecutar múltiples versiones de Anaconda o múltiples versiones de Python, acepte el valor predeterminado y deje esta casilla marcada.

Haga clic en el botón Instalar. Si desea ver los paquetes que está instalando Anaconda, haga clic en Mostrar detalle

Enseguida enseguida empezara la instalacion , lo cual llevarás unos cinco minutos o menos segun el equipo donde este instalando.

Felicidades, acaba de instalar Conda.

Opcional: para instalar PyCharm para Anaconda, haga clic en el enlace a https://www.anaconda.com/pycharm .

O para instalar Anaconda sin PyCharm, haga clic en el botón Siguiente.

Después de una instalación exitosa, verá el cuadro de diálogo “Gracias por instalar Anaconda”:

Si desea leer más sobre Anaconda.org y cómo comenzar con Anaconda, marque las casillas “Tutorial de Anaconda Edición Individual” y “Aprenda más sobre Anaconda”. Haga clic en el botón Finalizar.

Verifique su instalación .Nota: Si está detrás de un proxy de la empresa, es posible que deba realizar una configuración adicional.

Abra una ventana de terminal de conda, crearemos un nuevo entorno de Conda y lo activaremos con los comandos:

conda create --name nilmtk-env 
conda activate nilmtk-env

Si aún no está presente en su instalación de Conda, agregue el conda-forge a la lista de canales:

conda config --add channels conda-forge

Finalmente, instale la última versión de NILMTK de conda-forge :

conda install -c nilmtk nilmtk=0.4.3

Observe que el signo igual no lleva espacios(piense estamos usando Python). La ejecución del comando puede tardar un rato. Mientras tanto, consulte otros paquetes en Forge de NILMTK .

Como puede experimentar algunos problemas posteriores a la instalación con NILMTK y Matplotlib., para solucionarlos, aplique el comando:

conda install matplotlib 

Verificar la instalación Para verificar que Matplotlib está instalado, intente invocar la versión de Matplotlib en Python REPL. Use desde el interprete Python los comandos a continuación que incluyen llamar a .__ version__, un atributo común a la mayoría de los paquetes de Python.

>>> import matplotlib

>>> matplotlib.__version__

Ejemplo de salida:

(nilmtk-env) C:\Users\carlo>python
Python 3.6.13 (default, Sep 7 2021, 06:39:02) [MSC v.1916 64 bit (AMD64)] on win32
Type “help”, “copyright”, “credits” or “license” for more information.

import matplotlib
matplotlib.version
‘3.1.3’

Agregar un kernel de Jupyter

Básicamente, NILMTK ahora está instalado en su ordenador. El siguiente paso involucra los cuadernos de Jupyter. Trabajar con Jupyter abre muchas posibilidades y se dice que es una herramienta imprescindible. Por lo tanto, agregue el entorno NILMTK a Jupyter:

python -m ipykernel install --user --name nilmtk-env --display-name "Python (nilmtk-env)"

Prueba de la instalación

Ha llegado el momento de comprobar su instalación. Antes que nada, cree una nueva carpeta y descargue el conjunto de prueba aleatorio de Github:

123md nilmtk_testcd nilmtk_test  wget https://raw.githubusercontent.com/nilmtk/nilmtk/master/data/random.h5

Como puede comprobar random.h5 es el fichero de de datos en en formato hdf5 .A continuación, levante Jupyter:

1notebook jupyter

Para probar su instalación, intente importar el conjunto de datos aleatorio usando NILMTK y trazar todos los medidores:https://klemenjak.medium.com/media/9ba2be16d331653a7b4093a0fe412434

La salida debe ser:

1MeterGroup (metros =   ElecMeter (instancia = 1, edificio = 1, conjunto de datos = Ninguno, electrodomésticos = [])   ElecMeter (instancia = 2, edificio = 1, conjunto de datos = Ninguno, electrodomésticos = [])   ElecMeter (instancia = 3, edificio = 1, conjunto de datos = Ninguno, electrodomésticos = [])   ElecMeter (instancia = 4, edificio = 1, conjunto de datos = Ninguno, electrodomésticos = [])   ElecMeter (instancia = 5, edificio = 1, conjunto de datos = Ninguno, electrodomésticos = []) )

¡Felicitaciones! Lo ha logrado. ¡NILMTK parece funcionar según lo previsto! 

La imagen tiene un atributo ALT vacío; su nombre de archivo es pexels-photo-5036278.jpeg

scikit-learn: Guardar y restaurar modelos


En muchas ocasiones, mientras trabaja con la biblioteca scikit-learn , deberá guardar sus modelos de predicción en un archivo y luego restaurarlos para reutilizar su trabajo anterior para: probar su modelo con datos nuevos, comparar varios modelos o Algo más. Este procedimiento de guardado también se conoce como serialización de objetos: representa un objeto con un flujo de bytes para almacenarlo en el disco, enviarlo a través de una red o guardarlo en una base de datos, mientras que el procedimiento de restauración se conoce como deserialización. En este artículo, analizamos tres formas posibles de hacer esto en Python y scikit-learn, cada una presentada con sus pros y sus contras.

Herramientas para guardar y restaurar modelos

La primera herramienta que describimos es Pickle , la herramienta estándar de Python para la (des) serialización de objetos. Luego, miramos la biblioteca Joblib que ofrece (des) serialización fácil de objetos que contienen matrices de datos grandes, y finalmente presentamos un enfoque manual para guardar y restaurar objetos hacia / desde JSON (JavaScript Object Notation). Ninguno de estos enfoques representa una solución óptima, pero se debe elegir el ajuste correcto de acuerdo con las necesidades de su proyecto.

Inicialización del modelo

Inicialmente, creemos un modelo de scikit-learn. En nuestro ejemplo usaremos un modelo de regresión logística y el conjunto de datos Iris . 

Vamos a importar las bibliotecas necesarias, cargar los datos y dividirlos en conjuntos de prueba y entrenamiento.

from sklearn.linear_model import LogisticRegression
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split

# Load and split data
data = load_iris()
Xtrain, Xtest, Ytrain, Ytest = train_test_split(data.data, data.target, test_size=0.3, random_state=4)

Ahora creemos el modelo con algunos parámetros no predeterminados y ajustémoslo a los datos de entrenamiento. Suponemos que ha encontrado previamente los parámetros óptimos del modelo, es decir, los que producen la mayor precisión estimada.

# Create a model
model = LogisticRegression(C=0.1, 
                           max_iter=20, 
                           fit_intercept=True, 
                           n_jobs=3, 
                           solver='liblinear')
model.fit(Xtrain, Ytrain)

Y nuestro modelo resultante:

LogisticRegression(C=0.1, class_weight=None, dual=False, fit_intercept=True,
    intercept_scaling=1, max_iter=20, multi_class='ovr', n_jobs=3,
    penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
    verbose=0, warm_start=False)

Usando el fitmétodo, el modelo ha aprendido sus coeficientes que están almacenados en model.coef_. El objetivo es guardar los parámetros y los coeficientes del modelo en un archivo, por lo que no es necesario repetir el entrenamiento del modelo y los pasos de optimización de los parámetros nuevamente con datos nuevos.

Módulo pickle

En las siguientes líneas de código, el modelo que creamos en el paso anterior se guarda en un archivo y luego se carga como un nuevo objeto llamado pickled_model. A continuación, el modelo cargado se utiliza para calcular la puntuación de precisión y predecir los resultados sobre nuevos datos no vistos (de prueba).

import pickle

#
# Create your model here (same as above)
#

# Save to file in the current working directory
pkl_filename = "pickle_model.pkl"
with open(pkl_filename, 'wb') as file:
    pickle.dump(model, file)

# Load from file
with open(pkl_filename, 'rb') as file:
    pickle_model = pickle.load(file)
    
# Calculate the accuracy score and predict target values
score = pickle_model.score(Xtest, Ytest)
print("Test score: {0:.2f} %".format(100 * score))
Ypredict = pickle_model.predict(Xtest)

La ejecución de este código debería generar su puntuación y guardar el modelo a través de Pickle:

$ python save_model_pickle.py
Test score: 91.11 %

Lo mejor de usar Pickle para guardar y restaurar nuestros modelos de aprendizaje es que es rápido: puede hacerlo en dos líneas de código. Es útil si ha optimizado los parámetros del modelo en los datos de entrenamiento, por lo que no necesita repetir este paso nuevamente. De todos modos, no guarda los resultados de la prueba ni ningún dato. Aún así, puede hacer esto guardando una tupla, o una lista, de varios objetos (y recuerde qué objeto va a dónde), de la siguiente manera:

tuple_objects = (model, Xtrain, Ytrain, score)

# Save tuple
pickle.dump(tuple_objects, open("tuple_model.pkl", 'wb'))

# Restore tuple
pickled_model, pickled_Xtrain, pickled_Ytrain, pickled_score = pickle.load(open("tuple_model.pkl", 'rb'))

Módulo Joblib

La biblioteca Joblib está destinada a ser un reemplazo de Pickle, para objetos que contienen datos grandes. Repetiremos el procedimiento de guardar y restaurar como con Pickle.

from sklearn.externals import joblib

# Save to file in the current working directory
joblib_file = "joblib_model.pkl"
joblib.dump(model, joblib_file)

# Load from file
joblib_model = joblib.load(joblib_file)

# Calculate the accuracy and predictions
score = joblib_model.score(Xtest, Ytest)
print("Test score: {0:.2f} %".format(100 * score))
Ypredict = pickle_model.predict(Xtest)
$ python save_model_joblib.py
Test score: 91.11 %

Como se ve en el ejemplo, la biblioteca Joblib ofrece un flujo de trabajo un poco más simple en comparación con Pickle. Si bien Pickle requiere que se pase un objeto de archivo como argumento, Joblib funciona tanto con objetos de archivo como con nombres de archivo de cadena. En caso de que su modelo contenga grandes conjuntos de datos, cada conjunto se almacenará en un archivo separado, pero el procedimiento de guardar y restaurar seguirá siendo el mismo. Joblib también permite diferentes métodos de compresión, como ‘zlib’, ‘gzip’, ‘bz2’ y diferentes niveles de compresión.

Guardar y restaurar manualmente a JSON

Dependiendo de su proyecto, muchas veces encontrará Pickle y Joblib como soluciones inadecuadas. De todos modos, siempre que desee tener un control total sobre el proceso de guardar y restaurar, la mejor manera es crear sus propias funciones manualmente.

A continuación, se muestra un ejemplo de cómo guardar y restaurar objetos manualmente mediante JSON. Este enfoque nos permite seleccionar los datos que deben guardarse, como los parámetros del modelo, los coeficientes, los datos de entrenamiento y cualquier otra cosa que necesitemos.

Dado que queremos guardar todos estos datos en un solo objeto, una forma posible de hacerlo es crear una nueva clase que herede de la clase modelo, que en nuestro ejemplo es LogisticRegression. La nueva clase, llamada MyLogReg, implementa los métodos save_jsonload_json para guardar y restaurar a / desde un archivo JSON, respectivamente.

Para simplificar, guardaremos solo tres parámetros del modelo y los datos de entrenamiento. Algunos datos adicionales que podríamos almacenar con este enfoque son, por ejemplo, una puntuación de validación cruzada en el conjunto de entrenamiento, datos de prueba, puntuación de precisión en los datos de prueba, etc.

import json
import numpy as np

class MyLogReg(LogisticRegression):
    
    # Override the class constructor
    def __init__(self, C=1.0, solver='liblinear', max_iter=100, X_train=None, Y_train=None):
        LogisticRegression.__init__(self, C=C, solver=solver, max_iter=max_iter)
        self.X_train = X_train
        self.Y_train = Y_train
        
    # A method for saving object data to JSON file
    def save_json(self, filepath):
        dict_ = {}
        dict_['C'] = self.C
        dict_['max_iter'] = self.max_iter
        dict_['solver'] = self.solver
        dict_['X_train'] = self.X_train.tolist() if self.X_train is not None else 'None'
        dict_['Y_train'] = self.Y_train.tolist() if self.Y_train is not None else 'None'
        
        # Creat json and save to file
        json_txt = json.dumps(dict_, indent=4)
        with open(filepath, 'w') as file:
            file.write(json_txt)
    
    # A method for loading data from JSON file
    def load_json(self, filepath):
        with open(filepath, 'r') as file:
            dict_ = json.load(file)
            
        self.C = dict_['C']
        self.max_iter = dict_['max_iter']
        self.solver = dict_['solver']
        self.X_train = np.asarray(dict_['X_train']) if dict_['X_train'] != 'None' else None
        self.Y_train = np.asarray(dict_['Y_train']) if dict_['Y_train'] != 'None' else None
        

Ahora probemos la MyLogRegclase. Primero creamos un objeto mylogreg, le pasamos los datos de entrenamiento y lo guardamos en un archivo. Luego creamos un nuevo objeto json_mylogregy llamamos al métod load_json para cargar los datos del archivo.

filepath = "mylogreg.json"

# Create a model and train it
mylogreg = MyLogReg(X_train=Xtrain, Y_train=Ytrain)
mylogreg.save_json(filepath)

# Create a new object and load its data from JSON file
json_mylogreg = MyLogReg()
json_mylogreg.load_json(filepath)
json_mylogreg

Al imprimir el nuevo objeto, podemos ver nuestros parámetros y datos de entrenamiento según sea necesario.

MyLogReg(C=1.0,
     X_train=array([[ 4.3,  3. ,  1.1,  0.1],
       [ 5.7,  4.4,  1.5,  0.4],
       ...,
       [ 7.2,  3. ,  5.8,  1.6],
       [ 7.7,  2.8,  6.7,  2. ]]),
     Y_train=array([0, 0, ..., 2, 2]), class_weight=None, dual=False,
     fit_intercept=True, intercept_scaling=1, max_iter=100,
     multi_class='ovr', n_jobs=1, penalty='l2', random_state=None,
     solver='liblinear', tol=0.0001, verbose=0, warm_start=False)

Dado que la serialización de datos usando JSON realmente guarda el objeto en un formato de cadena, en lugar de un flujo de bytes, el archivo ‘mylogreg.json’ podría abrirse y modificarse con un editor de texto. Aunque este enfoque sería conveniente para el desarrollador, es menos seguro ya que un intruso puede ver y modificar el contenido del archivo JSON. Además, este enfoque es más adecuado para objetos con una pequeña cantidad de variables de instancia, como los modelos scikit-learn, porque cualquier adición de nuevas variables requiere cambios en los métodos de guardar y restaurar.

Problemas de compatibilidad

Si bien algunos de los pros y los contras de cada herramienta se cubrieron en el texto hasta ahora, probablemente el mayor inconveniente de las herramientas Pickle y Joblib es su compatibilidad con diferentes modelos y versiones de Python.

Compatibilidad con la versión de Python : la documentación de ambas herramientas indica que no se recomienda (des) serializar objetos en diferentes versiones de Python, aunque podría funcionar con cambios menores de versión.

Compatibilidad del modelo : uno de los errores más frecuentes es guardar su modelo con Pickle o Joblib y luego cambiar el modelo antes de intentar restaurar desde un archivo. La estructura interna del modelo debe permanecer sin cambios entre guardar y recargar.

Un último problema con Pickle y Joblib está relacionado con la seguridad. Ambas herramientas pueden contener código malicioso, por lo que no se recomienda restaurar datos de fuentes no confiables o no autenticadas.

Conclusiones

En esta publicación describimos tres herramientas para guardar y restaurar modelos de scikit-learn. Las bibliotecas Pickle y Joblib son rápidas y fáciles de usar, pero tienen problemas de compatibilidad en diferentes versiones de Python y cambios en el modelo de aprendizaje. Por otro lado, el enfoque manual es más difícil de implementar y debe modificarse con cualquier cambio en la estructura del modelo, pero en el lado positivo podría adaptarse fácilmente a varias necesidades y no tiene problemas de compatibilidad.

Instalacion juniper notebook en Ubuntu 20.0.4


Anaconda es una distribución gratuita, de código abierto y una de las distribuciones más populares del lenguaje de programación Python y R. Generalmente, se usa para computación científica, análisis predictivo, aprendizaje automático y procesamiento de datos a gran escala. Es una distribución multiplataforma y se puede instalar en Linux, Windows y Mac OS.

En este post le mostraremos cómo instalar y usar Anaconda en un VPS Ubuntu 20.04.

Prerrequisitos

Acceso a la cuenta de usuario root (o acceso a una cuenta de administrador con privilegios de root)

Eliminar cualquier instalacion anterior

sudo rm -R /root/anaconda3

Inicie sesión en el servidor y actualice los paquetes del sistema operativo del servidor

Primero, inicie sesión en su servidor Ubuntu 20.04 a través de SSH como usuario root

Antes de comenzar, debe asegurarse de que todos los paquetes del sistema operativo Ubuntu instalados en el servidor estén actualizados. Puede hacer esto ejecutando los siguientes comandos:

apt-get update -y

apt-get upgrade -y

Descarga de Anaconda

Primero, visite la página de descarga de Anaconda y descargue la última versión del script de instalación de Anaconda con el siguiente comando:

wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh

Una vez completada la descarga, verifique la integridad de los datos del script mediante el comando sha256sum:

sha256sum Anaconda3-2020.11-Linux-x86_64.sh

Debería obtener el siguiente resultado:

cf2ff493f11eaad5d09ce2b4feaa5ea90db5174303d5b3fe030e16d29aeef7de Anaconda3-2020.11-Linux-x86_64.sh

A continuación, vaya a la página hash de Anaconda y haga coincidir el hash anterior como se muestra a continuación:

instalando anaconda en ubuntu 20.04

Una vez que haya terminado, puede proceder e instalar Anaconda.

Instalación de Anaconda

Ahora, ejecute el script de instalación de Anaconda para iniciar la instalación:

bash Anaconda3-2020.11-Linux-x86_64.sh

Debería ver el siguiente resultado:

Bienvenido a Anaconda3 2020.11

Para continuar con el proceso de instalación, revise la licencia
convenio.
Por favor presione ENTER para continuar
>>> 

Presione Enter para iniciar la instalación. Se le pedirá que acepte la licencia y elija el directorio de instalación como se muestra a continuación:

¿Aceptas los términos de la licencia? [si | no] si

Anaconda3 ahora se instalará en esta ubicación:
/ root / anaconda3

  - Presione ENTER para confirmar la ubicación
  - Presione CTRL-C para cancelar la instalación
  - O especifique una ubicación diferente a continuación

[/ root / anaconda3] >>> 

Presione Entrar para confirmar la ubicación y continuar con el proceso de instalación. Una vez completada la instalación, debería obtener el siguiente resultado:

¿Desea que el instalador inicialice Anaconda3
ejecutando conda init? [si | no]
[no] >>> si

Escriba sí y presione Entrar para inicializar la Anaconda. Debería obtener el siguiente resultado:

==> Para que los cambios surtan efecto, cierre y vuelva a abrir su shell actual. <==

Si prefiere que el entorno base de conda no se active al inicio, 
   establezca el parámetro auto_activate_base en falso: 

conda config --set auto_activate_base false

¡Gracias por instalar Anaconda3!

================================================ =========================

Trabajar con portátiles Python y Jupyter es muy sencillo con PyCharm Pro,
diseñado para ser utilizado con Anaconda. Descarga ahora y ten los mejores datos
herramientas a su alcance.

PyCharm Pro para Anaconda está disponible en: https://www.anaconda.com/pycharm

A continuación, active la variable de entorno Anaconda con el siguiente comando:

fuente ~ / .bashrc

Ahora puede verificar la instalación usando el siguiente comando:

conda info

Debería obtener el siguiente resultado:

    ubicación de entorno activo: / root / anaconda3
            nivel de cáscara: 1
       archivo de configuración de usuario: /root/.condarc
 archivos de configuración poblados: 
          versión conda: 4.9.2
    versión conda-build: 3.20.5
         versión de Python: 3.8.5.final.0
       paquetes virtuales: __glibc = 2.31 = 0
                          __unix = 0 = 0
                          __archspec = 1 = x86_64
       entorno base: / root / anaconda3 (escribible)
           URL de canal: https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          caché del paquete: / root / anaconda3 / pkgs
                          /root/.conda/pkgs
       Directorios envs: / root / anaconda3 / envs
                          /root/.conda/envs
               plataforma: linux-64
             user-agent: conda / 4.9.2 solicitudes / 2.24.0 CPython / 3.8.5 Linux / 5.4.0-29-generic ubuntu / 20.04 glibc / 2.31
                UID: GID: 0: 0
             archivo netrc: Ninguno
           modo fuera de línea: falso

Actualización Anaconda

Se recomienda actualizar Anaconda con regularidad. Para actualizar Anaconda, primero actualice la conda con el siguiente comando:

conda update conda

A continuación, actualice Anaconda con el siguiente comando:

conda update anaconda

Puede crear un entorno Python 3 para Anaconda usando el siguiente comando:

Crear un entorno Anaconda

conda create --name my_env

A continuación, active el entorno con el siguiente comando:

conda activate my_env

Debería obtener el siguiente resultado:

(mi_env) root @ ubuntu2004: ~ # 


Abra una nueva ventana de Terminal yendo a “Mostrar aplicaciones” y seleccionando la Terminal .

Escriba el comando para verificar que se instaló Anaconda.(base) nombre de usuario @ ubuntu: ~ $ python –version
Python 3.8.5

Escriba el comando para actualizar Anaconda.(base) username @ ubuntu: ~ $ conda update –all –yes

Iniciar Jupyter Notebook

Escriba el comando para iniciar Jupyter Notebook.nombre de usuario @ ubuntu: ~ $ jupyter notebook

Ejemplo de todos los comandos lanzados :

[email protected]:~/Descargas$ wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
--2021-09-06 10:21:36--  https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
Resolviendo repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8303, ...
Conectando con repo.anaconda.com (repo.anaconda.com)[104.16.130.3]:443... conectado.
Petición HTTP enviada, esperando respuesta... 200 OK
Longitud: 554535580 (529M) [application/x-sh]
Guardando como: “Anaconda3-2020.11-Linux-x86_64.sh”

Anaconda3-2020.11-L 100%[===================>] 528,85M  3,04MB/s    en 2m 56s  

2021-09-06 10:24:32 (3,00 MB/s) - “Anaconda3-2020.11-Linux-x86_64.sh” guardado [554535580/554535580]

[email protected]:~/Descargas$ sha256sum Anaconda3-2020.11-Linux-x86_64.sh
cf2ff493f11eaad5d09ce2b4feaa5ea90db5174303d5b3fe030e16d29aeef7de  Anaconda3-2020.11-Linux-x86_64.sh
[email protected]:~/Descargas$ bash Anaconda3-2020.11-Linux-x86_64.sh

Welcome to Anaconda3 2020.11

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>> 
===================================
End User License Agreement - Anaconda Individual Edition
===================================

Copyright 2015-2020, Anaconda, Inc.

All rights reserved under the 3-clause BSD License:

This End User License Agreement (the "Agreement") is a legal agreement between y
ou and Anaconda, Inc. ("Anaconda") and governs your use of Anaconda Individual E
dition (which was formerly known as Anaconda Distribution).

Subject to the terms of this Agreement, Anaconda hereby grants you a non-exclusi
ve, non-transferable license to:

  * Install and use the Anaconda Individual Edition (which was formerly known as
 Anaconda Distribution),
  * Modify and create derivative works of sample source code delivered in Anacon
da Individual Edition from Anaconda's repository; and
  * Redistribute code files in source (if provided to you by Anaconda as source)
 and binary forms, with or without modification subject to the requirements set 
forth below.

Anaconda may, at its option, make available patches, workarounds or other update
s to Anaconda Individual Edition. Unless the updates are provided with their sep
arate governing terms, they are deemed part of Anaconda Individual Edition licen
sed to you as provided in this Agreement.  This Agreement does not entitle you t
o any support for Anaconda Individual Edition.

Anaconda reserves all rights not expressly granted to you in this Agreement.

Redistribution and use in source and binary forms, with or without modification,
 are permitted provided that the following conditions are met:

  * Redistributions of source code must retain the above copyright notice, this 
list of conditions and the following disclaimer.
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is list of conditions and the following disclaimer in the documentation and/or o
ther materials provided with the distribution.
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o endorse or promote products derived from this software without specific prior 
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You acknowledge that, as between you and Anaconda, Anaconda owns all right, titl
e, and interest, including all intellectual property rights, in and to Anaconda 
Individual Edition and, with respect to third-party products distributed with or
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ll right, title and interest, including all intellectual property rights, in and
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luding without limitation, new features or functionality relating thereto, or an
y comments, questions, suggestions or the like ("Feedback"), Anaconda is free to
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THIS SOFTWARE IS PROVIDED BY ANACONDA AND ITS CONTRIBUTORS "AS IS" AND ANY EXPRE
SS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 
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ENT SHALL ANACONDA BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEM
PLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF S
UBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUP
TION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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F THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

TO THE MAXIMUM EXTENT PERMITTED BY LAW, ANACONDA AND ITS AFFILIATES SHALL NOT BE
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OST PROFITS, LOSS OF USE, LOSS OF DATA OR LOSS OF GOODWILL, OR THE COSTS OF PROC
URING SUBSTITUTE PRODUCTS, ARISING OUT OF OR IN CONNECTION WITH THIS AGREEMENT O
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ARISES FROM ANY CLAIM BASED UPON BREACH OF CONTRACT, BREACH OF WARRANTY, TORT (I
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F LIABILITY. IN NO EVENT WILL THE TOTAL CUMULATIVE LIABILITY OF ANACONDA AND ITS
 AFFILIATES UNDER OR ARISING OUT OF THIS AGREEMENT EXCEED US0.00.

If you want to terminate this Agreement, you may do so by discontinuing use of A
naconda Individual Edition.  Anaconda may, at any time, terminate this Agreement
 and the license granted hereunder if you fail to comply with any term of this A
greement.   Upon any termination of this Agreement, you agree to promptly discon
tinue use of the Anaconda Individual Edition and destroy all copies in your poss
ession or control. Upon any termination of this Agreement all provisions survive
 except for the licenses granted to you.

This Agreement is governed by and construed in accordance with the internal laws
 of the State of Texas without giving effect to any choice or conflict of law pr
ovision or rule that would require or permit the application of the laws of any 
jurisdiction other than those of the State of Texas. Any legal suit, action, or 
proceeding arising out of or related to this Agreement or the licenses granted h
ereunder by you must be instituted exclusively in the federal courts of the Unit
ed States or the courts of the State of Texas in each case located in Travis Cou
nty, Texas, and you irrevocably submit to the jurisdiction of such courts in any
 such suit, action, or proceeding.


Notice of Third Party Software Licenses
=======================================

Anaconda Individual Edition provides access to a repository which contains softw
are packages or tools licensed on an open source basis from third parties and bi
nary packages of these third party tools. These third party software packages or
 tools are provided on an "as is" basis and are subject to their respective lice
nse agreements as well as this Agreement and the Terms of Service for the Reposi
tory located at https://know.anaconda.com/TOS.html; provided, however, no restri
ction contained in the Terms of Service shall be construed so as to limit your a
bility to download the packages contained in Anaconda Individual Edition provide
d you comply with the license for each such package.  These licenses may be acce
ssed from within the Anaconda Individual Edition software or at https://docs.ana
conda.com/anaconda/pkg-docs. Information regarding which license is applicable i
s available from within many of the third party software packages and tools and 
at https://repo.anaconda.com/pkgs/main/ and https://repo.anaconda.com/pkgs/r/. A
naconda reserves the right, in its sole discretion, to change which third party 
tools are included in the repository accessible through Anaconda Individual Edit
ion.

Intel Math Kernel Library
-------------------------

Anaconda Individual Edition provides access to re-distributable, run-time, share
d-library files from the Intel Math Kernel Library ("MKL binaries").

Copyright 2018 Intel Corporation.  License available at https://software.intel.c
om/en-us/license/intel-simplified-software-license (the "MKL License").

You may use and redistribute the MKL binaries, without modification, provided th
e following conditions are met:

  * Redistributions must reproduce the above copyright notice and the following 
terms of use in the MKL binaries and in the documentation and/or other materials
 provided with the distribution.
  * Neither the name of Intel nor the names of its suppliers may be used to endo
rse or promote products derived from the MKL binaries without specific prior wri
tten permission.
  * No reverse engineering, decompilation, or disassembly of the MKL binaries is
 permitted.

You are specifically authorized to use and redistribute the MKL binaries with yo
ur installation of Anaconda Individual Edition subject to the terms set forth in
 the MKL License. You are also authorized to redistribute the MKL binaries with 
Anaconda Individual Edition or in the Anaconda package that contains the MKL bin
aries. If needed, instructions for removing the MKL binaries after installation 
of Anaconda Individual Edition are available at https://docs.anaconda.com.

cuDNN Software
--------------

Anaconda Individual Edition also provides access to cuDNN software binaries ("cu
DNN binaries") from NVIDIA Corporation. You are specifically authorized to use t
he cuDNN binaries with your installation of Anaconda Individual Edition subject 
to your compliance with the license agreement located at https://docs.nvidia.com
/deeplearning/sdk/cudnn-sla/index.html. You are also authorized to redistribute 
the cuDNN binaries with an Anaconda Individual Edition package that contains the
 cuDNN binaries. You can add or remove the cuDNN binaries utilizing the install 
and uninstall features in Anaconda Individual Edition.

cuDNN binaries contain source code provided by NVIDIA Corporation.


Export; Cryptography Notice
===========================

You must comply with all domestic and international export laws and regulations 
that apply to the software, which include restrictions on destinations, end user
s, and end use.  Anaconda Individual Edition includes cryptographic software. Th
e country in which you currently reside may have restrictions on the import, pos
session, use, and/or re-export to another country, of encryption software. BEFOR
E using any encryption software, please check your country's laws, regulations a
nd policies concerning the import, possession, or use, and re-export of encrypti
on software, to see if this is permitted. See the Wassenaar Arrangement http://w
ww.wassenaar.org/ for more information.

Anaconda has self-classified this software as Export Commodity Control Number (E
CCN) 5D992.c, which includes mass market information security software using or 
performing cryptographic functions with asymmetric algorithms. No license is req
uired for export of this software to non-embargoed countries.

The Intel Math Kernel Library contained in Anaconda Individual Edition is classi
fied by Intel as ECCN 5D992.c with no license required for export to non-embargo
ed countries.

The following packages are included in the repository accessible through Anacond
a Individual Edition that relate to cryptography:

openssl
    The OpenSSL Project is a collaborative effort to develop a robust, commercia
l-grade, full-featured, and Open Source toolkit implementing the Transport Layer
 Security (TLS) and Secure Sockets Layer (SSL) protocols as well as a full-stren
gth general purpose cryptography library.

pycrypto
    A collection of both secure hash functions (such as SHA256 and RIPEMD160), a
nd various encryption algorithms (AES, DES, RSA, ElGamal, etc.).

pyopenssl
    A thin Python wrapper around (a subset of) the OpenSSL library.

kerberos (krb5, non-Windows platforms)
    A network authentication protocol designed to provide strong authentication 
for client/server applications by using secret-key cryptography.

cryptography
    A Python library which exposes cryptographic recipes and primitives.

pycryptodome
    A fork of PyCrypto. It is a self-contained Python package of low-level crypt
ographic primitives.

pycryptodomex
    A stand-alone version of pycryptodome.

libsodium
    A software library for encryption, decryption, signatures, password hashing 
and more.

pynacl
    A Python binding to the Networking and Cryptography library, a crypto librar
y with the stated goal of improving usability, security and speed.


Last updated September 28, 2020


Do you accept the license terms? [yes|no]
[no] >>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> 
Please answer 'yes' or 'no':'
>>> yes

Anaconda3 will now be installed into this location:
/home/soloelectronicos/anaconda3

  - Press ENTER to confirm the location
  - Press CTRL-C to abort the installation
  - Or specify a different location below

[/home/soloelectronicos/anaconda3] >>> 
PREFIX=/home/soloelectronicos/anaconda3
Unpacking payload ...
Collecting package metadata (current_repodata.json): done                       
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - _ipyw_jlab_nb_ext_conf==0.1.0=py38_0
    - _libgcc_mutex==0.1=main
    - alabaster==0.7.12=py_0
    - anaconda-client==1.7.2=py38_0
    - anaconda-navigator==1.10.0=py38_0
    - anaconda-project==0.8.4=py_0
    - anaconda==2020.11=py38_0
    - argh==0.26.2=py38_0
    - argon2-cffi==20.1.0=py38h7b6447c_1
    - asn1crypto==1.4.0=py_0
    - astroid==2.4.2=py38_0
    - astropy==4.0.2=py38h7b6447c_0
    - async_generator==1.10=py_0
    - atomicwrites==1.4.0=py_0
    - attrs==20.3.0=pyhd3eb1b0_0
    - autopep8==1.5.4=py_0
    - babel==2.8.1=pyhd3eb1b0_0
    - backcall==0.2.0=py_0
    - backports.functools_lru_cache==1.6.1=py_0
    - backports.shutil_get_terminal_size==1.0.0=py38_2
    - backports.tempfile==1.0=py_1
    - backports.weakref==1.0.post1=py_1
    - backports==1.0=py_2
    - beautifulsoup4==4.9.3=pyhb0f4dca_0
    - bitarray==1.6.1=py38h27cfd23_0
    - bkcharts==0.2=py38_0
    - blas==1.0=mkl
    - bleach==3.2.1=py_0
    - blosc==1.20.1=hd408876_0
    - bokeh==2.2.3=py38_0
    - boto==2.49.0=py38_0
    - bottleneck==1.3.2=py38heb32a55_1
    - brotlipy==0.7.0=py38h7b6447c_1000
    - bzip2==1.0.8=h7b6447c_0
    - ca-certificates==2020.10.14=0
    - cairo==1.14.12=h8948797_3
    - certifi==2020.6.20=pyhd3eb1b0_3
    - cffi==1.14.3=py38he30daa8_0
    - chardet==3.0.4=py38_1003
    - click==7.1.2=py_0
    - cloudpickle==1.6.0=py_0
    - clyent==1.2.2=py38_1
    - colorama==0.4.4=py_0
    - conda-build==3.20.5=py38_1
    - conda-env==2.6.0=1
    - conda-package-handling==1.7.2=py38h03888b9_0
    - conda-verify==3.4.2=py_1
    - conda==4.9.2=py38h06a4308_0
    - contextlib2==0.6.0.post1=py_0
    - cryptography==3.1.1=py38h1ba5d50_0
    - curl==7.71.1=hbc83047_1
    - cycler==0.10.0=py38_0
    - cython==0.29.21=py38he6710b0_0
    - cytoolz==0.11.0=py38h7b6447c_0
    - dask-core==2.30.0=py_0
    - dask==2.30.0=py_0
    - dbus==1.13.18=hb2f20db_0
    - decorator==4.4.2=py_0
    - defusedxml==0.6.0=py_0
    - diff-match-patch==20200713=py_0
    - distributed==2.30.1=py38h06a4308_0
    - docutils==0.16=py38_1
    - entrypoints==0.3=py38_0
    - et_xmlfile==1.0.1=py_1001
    - expat==2.2.10=he6710b0_2
    - fastcache==1.1.0=py38h7b6447c_0
    - filelock==3.0.12=py_0
    - flake8==3.8.4=py_0
    - flask==1.1.2=py_0
    - fontconfig==2.13.0=h9420a91_0
    - freetype==2.10.4=h5ab3b9f_0
    - fribidi==1.0.10=h7b6447c_0
    - fsspec==0.8.3=py_0
    - future==0.18.2=py38_1
    - get_terminal_size==1.0.0=haa9412d_0
    - gevent==20.9.0=py38h7b6447c_0
    - glib==2.66.1=h92f7085_0
    - glob2==0.7=py_0
    - gmp==6.1.2=h6c8ec71_1
    - gmpy2==2.0.8=py38hd5f6e3b_3
    - graphite2==1.3.14=h23475e2_0
    - greenlet==0.4.17=py38h7b6447c_0
    - gst-plugins-base==1.14.0=hbbd80ab_1
    - gstreamer==1.14.0=hb31296c_0
    - h5py==2.10.0=py38h7918eee_0
    - harfbuzz==2.4.0=hca77d97_1
    - hdf5==1.10.4=hb1b8bf9_0
    - heapdict==1.0.1=py_0
    - html5lib==1.1=py_0
    - icu==58.2=he6710b0_3
    - idna==2.10=py_0
    - imageio==2.9.0=py_0
    - imagesize==1.2.0=py_0
    - importlib-metadata==2.0.0=py_1
    - importlib_metadata==2.0.0=1
    - iniconfig==1.1.1=py_0
    - intel-openmp==2020.2=254
    - intervaltree==3.1.0=py_0
    - ipykernel==5.3.4=py38h5ca1d4c_0
    - ipython==7.19.0=py38hb070fc8_0
    - ipython_genutils==0.2.0=py38_0
    - ipywidgets==7.5.1=py_1
    - isort==5.6.4=py_0
    - itsdangerous==1.1.0=py_0
    - jbig==2.1=hdba287a_0
    - jdcal==1.4.1=py_0
    - jedi==0.17.1=py38_0
    - jeepney==0.5.0=pyhd3eb1b0_0
    - jinja2==2.11.2=py_0
    - joblib==0.17.0=py_0
    - jpeg==9b=h024ee3a_2
    - json5==0.9.5=py_0
    - jsonschema==3.2.0=py_2
    - jupyter==1.0.0=py38_7
    - jupyter_client==6.1.7=py_0
    - jupyter_console==6.2.0=py_0
    - jupyter_core==4.6.3=py38_0
    - jupyterlab==2.2.6=py_0
    - jupyterlab_pygments==0.1.2=py_0
    - jupyterlab_server==1.2.0=py_0
    - keyring==21.4.0=py38_1
    - kiwisolver==1.3.0=py38h2531618_0
    - krb5==1.18.2=h173b8e3_0
    - lazy-object-proxy==1.4.3=py38h7b6447c_0
    - lcms2==2.11=h396b838_0
    - ld_impl_linux-64==2.33.1=h53a641e_7
    - libarchive==3.4.2=h62408e4_0
    - libcurl==7.71.1=h20c2e04_1
    - libedit==3.1.20191231=h14c3975_1
    - libffi==3.3=he6710b0_2
    - libgcc-ng==9.1.0=hdf63c60_0
    - libgfortran-ng==7.3.0=hdf63c60_0
    - liblief==0.10.1=he6710b0_0
    - libllvm10==10.0.1=hbcb73fb_5
    - libpng==1.6.37=hbc83047_0
    - libsodium==1.0.18=h7b6447c_0
    - libspatialindex==1.9.3=he6710b0_0
    - libssh2==1.9.0=h1ba5d50_1
    - libstdcxx-ng==9.1.0=hdf63c60_0
    - libtiff==4.1.0=h2733197_1
    - libtool==2.4.6=h7b6447c_1005
    - libuuid==1.0.3=h1bed415_2
    - libxcb==1.14=h7b6447c_0
    - libxml2==2.9.10=hb55368b_3
    - libxslt==1.1.34=hc22bd24_0
    - llvmlite==0.34.0=py38h269e1b5_4
    - locket==0.2.0=py38_1
    - lxml==4.6.1=py38hefd8a0e_0
    - lz4-c==1.9.2=heb0550a_3
    - lzo==2.10=h7b6447c_2
    - markupsafe==1.1.1=py38h7b6447c_0
    - matplotlib-base==3.3.2=py38h817c723_0
    - matplotlib==3.3.2=0
    - mccabe==0.6.1=py38_1
    - mistune==0.8.4=py38h7b6447c_1000
    - mkl-service==2.3.0=py38he904b0f_0
    - mkl==2020.2=256
    - mkl_fft==1.2.0=py38h23d657b_0
    - mkl_random==1.1.1=py38h0573a6f_0
    - mock==4.0.2=py_0
    - more-itertools==8.6.0=pyhd3eb1b0_0
    - mpc==1.1.0=h10f8cd9_1
    - mpfr==4.0.2=hb69a4c5_1
    - mpmath==1.1.0=py38_0
    - msgpack-python==1.0.0=py38hfd86e86_1
    - multipledispatch==0.6.0=py38_0
    - navigator-updater==0.2.1=py38_0
    - nbclient==0.5.1=py_0
    - nbconvert==6.0.7=py38_0
    - nbformat==5.0.8=py_0
    - ncurses==6.2=he6710b0_1
    - nest-asyncio==1.4.2=pyhd3eb1b0_0
    - networkx==2.5=py_0
    - nltk==3.5=py_0
    - nose==1.3.7=py38_2
    - notebook==6.1.4=py38_0
    - numba==0.51.2=py38h0573a6f_1
    - numexpr==2.7.1=py38h423224d_0
    - numpy-base==1.19.2=py38hfa32c7d_0
    - numpy==1.19.2=py38h54aff64_0
    - numpydoc==1.1.0=pyhd3eb1b0_1
    - olefile==0.46=py_0
    - openpyxl==3.0.5=py_0
    - openssl==1.1.1h=h7b6447c_0
    - packaging==20.4=py_0
    - pandas==1.1.3=py38he6710b0_0
    - pandoc==2.11=hb0f4dca_0
    - pandocfilters==1.4.3=py38h06a4308_1
    - pango==1.45.3=hd140c19_0
    - parso==0.7.0=py_0
    - partd==1.1.0=py_0
    - patchelf==0.12=he6710b0_0
    - path.py==12.5.0=0
    - path==15.0.0=py38_0
    - pathlib2==2.3.5=py38_0
    - pathtools==0.1.2=py_1
    - patsy==0.5.1=py38_0
    - pcre==8.44=he6710b0_0
    - pep8==1.7.1=py38_0
    - pexpect==4.8.0=py38_0
    - pickleshare==0.7.5=py38_1000
    - pillow==8.0.1=py38he98fc37_0
    - pip==20.2.4=py38h06a4308_0
    - pixman==0.40.0=h7b6447c_0
    - pkginfo==1.6.1=py38h06a4308_0
    - pluggy==0.13.1=py38_0
    - ply==3.11=py38_0
    - prometheus_client==0.8.0=py_0
    - prompt-toolkit==3.0.8=py_0
    - prompt_toolkit==3.0.8=0
    - psutil==5.7.2=py38h7b6447c_0
    - ptyprocess==0.6.0=py38_0
    - py-lief==0.10.1=py38h403a769_0
    - py==1.9.0=py_0
    - pycodestyle==2.6.0=py_0
    - pycosat==0.6.3=py38h7b6447c_1
    - pycparser==2.20=py_2
    - pycurl==7.43.0.6=py38h1ba5d50_0
    - pydocstyle==5.1.1=py_0
    - pyflakes==2.2.0=py_0
    - pygments==2.7.2=pyhd3eb1b0_0
    - pylint==2.6.0=py38_0
    - pyodbc==4.0.30=py38he6710b0_0
    - pyopenssl==19.1.0=py_1
    - pyparsing==2.4.7=py_0
    - pyqt==5.9.2=py38h05f1152_4
    - pyrsistent==0.17.3=py38h7b6447c_0
    - pysocks==1.7.1=py38_0
    - pytables==3.6.1=py38h9fd0a39_0
    - pytest==6.1.1=py38_0
    - python-dateutil==2.8.1=py_0
    - python-jsonrpc-server==0.4.0=py_0
    - python-language-server==0.35.1=py_0
    - python-libarchive-c==2.9=py_0
    - python==3.8.5=h7579374_1
    - pytz==2020.1=py_0
    - pywavelets==1.1.1=py38h7b6447c_2
    - pyxdg==0.27=pyhd3eb1b0_0
    - pyyaml==5.3.1=py38h7b6447c_1
    - pyzmq==19.0.2=py38he6710b0_1
    - qdarkstyle==2.8.1=py_0
    - qt==5.9.7=h5867ecd_1
    - qtawesome==1.0.1=py_0
    - qtconsole==4.7.7=py_0
    - qtpy==1.9.0=py_0
    - readline==8.0=h7b6447c_0
    - regex==2020.10.15=py38h7b6447c_0
    - requests==2.24.0=py_0
    - ripgrep==12.1.1=0
    - rope==0.18.0=py_0
    - rtree==0.9.4=py38_1
    - ruamel_yaml==0.15.87=py38h7b6447c_1
    - scikit-image==0.17.2=py38hdf5156a_0
    - scikit-learn==0.23.2=py38h0573a6f_0
    - scipy==1.5.2=py38h0b6359f_0
    - seaborn==0.11.0=py_0
    - secretstorage==3.1.2=py38_0
    - send2trash==1.5.0=py38_0
    - setuptools==50.3.1=py38h06a4308_1
    - simplegeneric==0.8.1=py38_2
    - singledispatch==3.4.0.3=py_1001
    - sip==4.19.13=py38he6710b0_0
    - six==1.15.0=py38h06a4308_0
    - snowballstemmer==2.0.0=py_0
    - sortedcollections==1.2.1=py_0
    - sortedcontainers==2.2.2=py_0
    - soupsieve==2.0.1=py_0
    - sphinx==3.2.1=py_0
    - sphinxcontrib-applehelp==1.0.2=py_0
    - sphinxcontrib-devhelp==1.0.2=py_0
    - sphinxcontrib-htmlhelp==1.0.3=py_0
    - sphinxcontrib-jsmath==1.0.1=py_0
    - sphinxcontrib-qthelp==1.0.3=py_0
    - sphinxcontrib-serializinghtml==1.1.4=py_0
    - sphinxcontrib-websupport==1.2.4=py_0
    - sphinxcontrib==1.0=py38_1
    - spyder-kernels==1.9.4=py38_0
    - spyder==4.1.5=py38_0
    - sqlalchemy==1.3.20=py38h7b6447c_0
    - sqlite==3.33.0=h62c20be_0
    - statsmodels==0.12.0=py38h7b6447c_0
    - sympy==1.6.2=py38h06a4308_1
    - tbb==2020.3=hfd86e86_0
    - tblib==1.7.0=py_0
    - terminado==0.9.1=py38_0
    - testpath==0.4.4=py_0
    - threadpoolctl==2.1.0=pyh5ca1d4c_0
    - tifffile==2020.10.1=py38hdd07704_2
    - tk==8.6.10=hbc83047_0
    - toml==0.10.1=py_0
    - toolz==0.11.1=py_0
    - tornado==6.0.4=py38h7b6447c_1
    - tqdm==4.50.2=py_0
    - traitlets==5.0.5=py_0
    - typing_extensions==3.7.4.3=py_0
    - ujson==4.0.1=py38he6710b0_0
    - unicodecsv==0.14.1=py38_0
    - unixodbc==2.3.9=h7b6447c_0
    - urllib3==1.25.11=py_0
    - watchdog==0.10.3=py38_0
    - wcwidth==0.2.5=py_0
    - webencodings==0.5.1=py38_1
    - werkzeug==1.0.1=py_0
    - wheel==0.35.1=py_0
    - widgetsnbextension==3.5.1=py38_0
    - wrapt==1.11.2=py38h7b6447c_0
    - wurlitzer==2.0.1=py38_0
    - xlrd==1.2.0=py_0
    - xlsxwriter==1.3.7=py_0
    - xlwt==1.3.0=py38_0
    - xmltodict==0.12.0=py_0
    - xz==5.2.5=h7b6447c_0
    - yaml==0.2.5=h7b6447c_0
    - yapf==0.30.0=py_0
    - zeromq==4.3.3=he6710b0_3
    - zict==2.0.0=py_0
    - zipp==3.4.0=pyhd3eb1b0_0
    - zlib==1.2.11=h7b6447c_3
    - zope.event==4.5.0=py38_0
    - zope.interface==5.1.2=py38h7b6447c_0
    - zope==1.0=py38_1
    - zstd==1.4.5=h9ceee32_0


The following NEW packages will be INSTALLED:

  _ipyw_jlab_nb_ext~ pkgs/main/linux-64::_ipyw_jlab_nb_ext_conf-0.1.0-py38_0
  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  alabaster          pkgs/main/noarch::alabaster-0.7.12-py_0
  anaconda           pkgs/main/linux-64::anaconda-2020.11-py38_0
  anaconda-client    pkgs/main/linux-64::anaconda-client-1.7.2-py38_0
  anaconda-navigator pkgs/main/linux-64::anaconda-navigator-1.10.0-py38_0
  anaconda-project   pkgs/main/noarch::anaconda-project-0.8.4-py_0
  argh               pkgs/main/linux-64::argh-0.26.2-py38_0
  argon2-cffi        pkgs/main/linux-64::argon2-cffi-20.1.0-py38h7b6447c_1
  asn1crypto         pkgs/main/noarch::asn1crypto-1.4.0-py_0
  astroid            pkgs/main/linux-64::astroid-2.4.2-py38_0
  astropy            pkgs/main/linux-64::astropy-4.0.2-py38h7b6447c_0
  async_generator    pkgs/main/noarch::async_generator-1.10-py_0
  atomicwrites       pkgs/main/noarch::atomicwrites-1.4.0-py_0
  attrs              pkgs/main/noarch::attrs-20.3.0-pyhd3eb1b0_0
  autopep8           pkgs/main/noarch::autopep8-1.5.4-py_0
  babel              pkgs/main/noarch::babel-2.8.1-pyhd3eb1b0_0
  backcall           pkgs/main/noarch::backcall-0.2.0-py_0
  backports          pkgs/main/noarch::backports-1.0-py_2
  backports.functoo~ pkgs/main/noarch::backports.functools_lru_cache-1.6.1-py_0
  backports.shutil_~ pkgs/main/linux-64::backports.shutil_get_terminal_size-1.0.0-py38_2
  backports.tempfile pkgs/main/noarch::backports.tempfile-1.0-py_1
  backports.weakref  pkgs/main/noarch::backports.weakref-1.0.post1-py_1
  beautifulsoup4     pkgs/main/noarch::beautifulsoup4-4.9.3-pyhb0f4dca_0
  bitarray           pkgs/main/linux-64::bitarray-1.6.1-py38h27cfd23_0
  bkcharts           pkgs/main/linux-64::bkcharts-0.2-py38_0
  blas               pkgs/main/linux-64::blas-1.0-mkl
  bleach             pkgs/main/noarch::bleach-3.2.1-py_0
  blosc              pkgs/main/linux-64::blosc-1.20.1-hd408876_0
  bokeh              pkgs/main/linux-64::bokeh-2.2.3-py38_0
  boto               pkgs/main/linux-64::boto-2.49.0-py38_0
  bottleneck         pkgs/main/linux-64::bottleneck-1.3.2-py38heb32a55_1
  brotlipy           pkgs/main/linux-64::brotlipy-0.7.0-py38h7b6447c_1000
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
  ca-certificates    pkgs/main/linux-64::ca-certificates-2020.10.14-0
  cairo              pkgs/main/linux-64::cairo-1.14.12-h8948797_3
  certifi            pkgs/main/noarch::certifi-2020.6.20-pyhd3eb1b0_3
  cffi               pkgs/main/linux-64::cffi-1.14.3-py38he30daa8_0
  chardet            pkgs/main/linux-64::chardet-3.0.4-py38_1003
  click              pkgs/main/noarch::click-7.1.2-py_0
  cloudpickle        pkgs/main/noarch::cloudpickle-1.6.0-py_0
  clyent             pkgs/main/linux-64::clyent-1.2.2-py38_1
  colorama           pkgs/main/noarch::colorama-0.4.4-py_0
  conda              pkgs/main/linux-64::conda-4.9.2-py38h06a4308_0
  conda-build        pkgs/main/linux-64::conda-build-3.20.5-py38_1
  conda-env          pkgs/main/linux-64::conda-env-2.6.0-1
  conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.7.2-py38h03888b9_0
  conda-verify       pkgs/main/noarch::conda-verify-3.4.2-py_1
  contextlib2        pkgs/main/noarch::contextlib2-0.6.0.post1-py_0
  cryptography       pkgs/main/linux-64::cryptography-3.1.1-py38h1ba5d50_0
  curl               pkgs/main/linux-64::curl-7.71.1-hbc83047_1
  cycler             pkgs/main/linux-64::cycler-0.10.0-py38_0
  cython             pkgs/main/linux-64::cython-0.29.21-py38he6710b0_0
  cytoolz            pkgs/main/linux-64::cytoolz-0.11.0-py38h7b6447c_0
  dask               pkgs/main/noarch::dask-2.30.0-py_0
  dask-core          pkgs/main/noarch::dask-core-2.30.0-py_0
  dbus               pkgs/main/linux-64::dbus-1.13.18-hb2f20db_0
  decorator          pkgs/main/noarch::decorator-4.4.2-py_0
  defusedxml         pkgs/main/noarch::defusedxml-0.6.0-py_0
  diff-match-patch   pkgs/main/noarch::diff-match-patch-20200713-py_0
  distributed        pkgs/main/linux-64::distributed-2.30.1-py38h06a4308_0
  docutils           pkgs/main/linux-64::docutils-0.16-py38_1
  entrypoints        pkgs/main/linux-64::entrypoints-0.3-py38_0
  et_xmlfile         pkgs/main/noarch::et_xmlfile-1.0.1-py_1001
  expat              pkgs/main/linux-64::expat-2.2.10-he6710b0_2
  fastcache          pkgs/main/linux-64::fastcache-1.1.0-py38h7b6447c_0
  filelock           pkgs/main/noarch::filelock-3.0.12-py_0
  flake8             pkgs/main/noarch::flake8-3.8.4-py_0
  flask              pkgs/main/noarch::flask-1.1.2-py_0
  fontconfig         pkgs/main/linux-64::fontconfig-2.13.0-h9420a91_0
  freetype           pkgs/main/linux-64::freetype-2.10.4-h5ab3b9f_0
  fribidi            pkgs/main/linux-64::fribidi-1.0.10-h7b6447c_0
  fsspec             pkgs/main/noarch::fsspec-0.8.3-py_0
  future             pkgs/main/linux-64::future-0.18.2-py38_1
  get_terminal_size  pkgs/main/linux-64::get_terminal_size-1.0.0-haa9412d_0
  gevent             pkgs/main/linux-64::gevent-20.9.0-py38h7b6447c_0
  glib               pkgs/main/linux-64::glib-2.66.1-h92f7085_0
  glob2              pkgs/main/noarch::glob2-0.7-py_0
  gmp                pkgs/main/linux-64::gmp-6.1.2-h6c8ec71_1
  gmpy2              pkgs/main/linux-64::gmpy2-2.0.8-py38hd5f6e3b_3
  graphite2          pkgs/main/linux-64::graphite2-1.3.14-h23475e2_0
  greenlet           pkgs/main/linux-64::greenlet-0.4.17-py38h7b6447c_0
  gst-plugins-base   pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1
  gstreamer          pkgs/main/linux-64::gstreamer-1.14.0-hb31296c_0
  h5py               pkgs/main/linux-64::h5py-2.10.0-py38h7918eee_0
  harfbuzz           pkgs/main/linux-64::harfbuzz-2.4.0-hca77d97_1
  hdf5               pkgs/main/linux-64::hdf5-1.10.4-hb1b8bf9_0
  heapdict           pkgs/main/noarch::heapdict-1.0.1-py_0
  html5lib           pkgs/main/noarch::html5lib-1.1-py_0
  icu                pkgs/main/linux-64::icu-58.2-he6710b0_3
  idna               pkgs/main/noarch::idna-2.10-py_0
  imageio            pkgs/main/noarch::imageio-2.9.0-py_0
  imagesize          pkgs/main/noarch::imagesize-1.2.0-py_0
  importlib-metadata pkgs/main/noarch::importlib-metadata-2.0.0-py_1
  importlib_metadata pkgs/main/noarch::importlib_metadata-2.0.0-1
  iniconfig          pkgs/main/noarch::iniconfig-1.1.1-py_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2020.2-254
  intervaltree       pkgs/main/noarch::intervaltree-3.1.0-py_0
  ipykernel          pkgs/main/linux-64::ipykernel-5.3.4-py38h5ca1d4c_0
  ipython            pkgs/main/linux-64::ipython-7.19.0-py38hb070fc8_0
  ipython_genutils   pkgs/main/linux-64::ipython_genutils-0.2.0-py38_0
  ipywidgets         pkgs/main/noarch::ipywidgets-7.5.1-py_1
  isort              pkgs/main/noarch::isort-5.6.4-py_0
  itsdangerous       pkgs/main/noarch::itsdangerous-1.1.0-py_0
  jbig               pkgs/main/linux-64::jbig-2.1-hdba287a_0
  jdcal              pkgs/main/noarch::jdcal-1.4.1-py_0
  jedi               pkgs/main/linux-64::jedi-0.17.1-py38_0
  jeepney            pkgs/main/noarch::jeepney-0.5.0-pyhd3eb1b0_0
  jinja2             pkgs/main/noarch::jinja2-2.11.2-py_0
  joblib             pkgs/main/noarch::joblib-0.17.0-py_0
  jpeg               pkgs/main/linux-64::jpeg-9b-h024ee3a_2
  json5              pkgs/main/noarch::json5-0.9.5-py_0
  jsonschema         pkgs/main/noarch::jsonschema-3.2.0-py_2
  jupyter            pkgs/main/linux-64::jupyter-1.0.0-py38_7
  jupyter_client     pkgs/main/noarch::jupyter_client-6.1.7-py_0
  jupyter_console    pkgs/main/noarch::jupyter_console-6.2.0-py_0
  jupyter_core       pkgs/main/linux-64::jupyter_core-4.6.3-py38_0
  jupyterlab         pkgs/main/noarch::jupyterlab-2.2.6-py_0
  jupyterlab_pygmen~ pkgs/main/noarch::jupyterlab_pygments-0.1.2-py_0
  jupyterlab_server  pkgs/main/noarch::jupyterlab_server-1.2.0-py_0
  keyring            pkgs/main/linux-64::keyring-21.4.0-py38_1
  kiwisolver         pkgs/main/linux-64::kiwisolver-1.3.0-py38h2531618_0
  krb5               pkgs/main/linux-64::krb5-1.18.2-h173b8e3_0
  lazy-object-proxy  pkgs/main/linux-64::lazy-object-proxy-1.4.3-py38h7b6447c_0
  lcms2              pkgs/main/linux-64::lcms2-2.11-h396b838_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
  libarchive         pkgs/main/linux-64::libarchive-3.4.2-h62408e4_0
  libcurl            pkgs/main/linux-64::libcurl-7.71.1-h20c2e04_1
  libedit            pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
  liblief            pkgs/main/linux-64::liblief-0.10.1-he6710b0_0
  libllvm10          pkgs/main/linux-64::libllvm10-10.0.1-hbcb73fb_5
  libpng             pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
  libsodium          pkgs/main/linux-64::libsodium-1.0.18-h7b6447c_0
  libspatialindex    pkgs/main/linux-64::libspatialindex-1.9.3-he6710b0_0
  libssh2            pkgs/main/linux-64::libssh2-1.9.0-h1ba5d50_1
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  libtiff            pkgs/main/linux-64::libtiff-4.1.0-h2733197_1
  libtool            pkgs/main/linux-64::libtool-2.4.6-h7b6447c_1005
  libuuid            pkgs/main/linux-64::libuuid-1.0.3-h1bed415_2
  libxcb             pkgs/main/linux-64::libxcb-1.14-h7b6447c_0
  libxml2            pkgs/main/linux-64::libxml2-2.9.10-hb55368b_3
  libxslt            pkgs/main/linux-64::libxslt-1.1.34-hc22bd24_0
  llvmlite           pkgs/main/linux-64::llvmlite-0.34.0-py38h269e1b5_4
  locket             pkgs/main/linux-64::locket-0.2.0-py38_1
  lxml               pkgs/main/linux-64::lxml-4.6.1-py38hefd8a0e_0
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.2-heb0550a_3
  lzo                pkgs/main/linux-64::lzo-2.10-h7b6447c_2
  markupsafe         pkgs/main/linux-64::markupsafe-1.1.1-py38h7b6447c_0
  matplotlib         pkgs/main/linux-64::matplotlib-3.3.2-0
  matplotlib-base    pkgs/main/linux-64::matplotlib-base-3.3.2-py38h817c723_0
  mccabe             pkgs/main/linux-64::mccabe-0.6.1-py38_1
  mistune            pkgs/main/linux-64::mistune-0.8.4-py38h7b6447c_1000
  mkl                pkgs/main/linux-64::mkl-2020.2-256
  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py38he904b0f_0
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.2.0-py38h23d657b_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.1.1-py38h0573a6f_0
  mock               pkgs/main/noarch::mock-4.0.2-py_0
  more-itertools     pkgs/main/noarch::more-itertools-8.6.0-pyhd3eb1b0_0
  mpc                pkgs/main/linux-64::mpc-1.1.0-h10f8cd9_1
  mpfr               pkgs/main/linux-64::mpfr-4.0.2-hb69a4c5_1
  mpmath             pkgs/main/linux-64::mpmath-1.1.0-py38_0
  msgpack-python     pkgs/main/linux-64::msgpack-python-1.0.0-py38hfd86e86_1
  multipledispatch   pkgs/main/linux-64::multipledispatch-0.6.0-py38_0
  navigator-updater  pkgs/main/linux-64::navigator-updater-0.2.1-py38_0
  nbclient           pkgs/main/noarch::nbclient-0.5.1-py_0
  nbconvert          pkgs/main/linux-64::nbconvert-6.0.7-py38_0
  nbformat           pkgs/main/noarch::nbformat-5.0.8-py_0
  ncurses            pkgs/main/linux-64::ncurses-6.2-he6710b0_1
  nest-asyncio       pkgs/main/noarch::nest-asyncio-1.4.2-pyhd3eb1b0_0
  networkx           pkgs/main/noarch::networkx-2.5-py_0
  nltk               pkgs/main/noarch::nltk-3.5-py_0
  nose               pkgs/main/linux-64::nose-1.3.7-py38_2
  notebook           pkgs/main/linux-64::notebook-6.1.4-py38_0
  numba              pkgs/main/linux-64::numba-0.51.2-py38h0573a6f_1
  numexpr            pkgs/main/linux-64::numexpr-2.7.1-py38h423224d_0
  numpy              pkgs/main/linux-64::numpy-1.19.2-py38h54aff64_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.19.2-py38hfa32c7d_0
  numpydoc           pkgs/main/noarch::numpydoc-1.1.0-pyhd3eb1b0_1
  olefile            pkgs/main/noarch::olefile-0.46-py_0
  openpyxl           pkgs/main/noarch::openpyxl-3.0.5-py_0
  openssl            pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0
  packaging          pkgs/main/noarch::packaging-20.4-py_0
  pandas             pkgs/main/linux-64::pandas-1.1.3-py38he6710b0_0
  pandoc             pkgs/main/linux-64::pandoc-2.11-hb0f4dca_0
  pandocfilters      pkgs/main/linux-64::pandocfilters-1.4.3-py38h06a4308_1
  pango              pkgs/main/linux-64::pango-1.45.3-hd140c19_0
  parso              pkgs/main/noarch::parso-0.7.0-py_0
  partd              pkgs/main/noarch::partd-1.1.0-py_0
  patchelf           pkgs/main/linux-64::patchelf-0.12-he6710b0_0
  path               pkgs/main/linux-64::path-15.0.0-py38_0
  path.py            pkgs/main/noarch::path.py-12.5.0-0
  pathlib2           pkgs/main/linux-64::pathlib2-2.3.5-py38_0
  pathtools          pkgs/main/noarch::pathtools-0.1.2-py_1
  patsy              pkgs/main/linux-64::patsy-0.5.1-py38_0
  pcre               pkgs/main/linux-64::pcre-8.44-he6710b0_0
  pep8               pkgs/main/linux-64::pep8-1.7.1-py38_0
  pexpect            pkgs/main/linux-64::pexpect-4.8.0-py38_0
  pickleshare        pkgs/main/linux-64::pickleshare-0.7.5-py38_1000
  pillow             pkgs/main/linux-64::pillow-8.0.1-py38he98fc37_0
  pip                pkgs/main/linux-64::pip-20.2.4-py38h06a4308_0
  pixman             pkgs/main/linux-64::pixman-0.40.0-h7b6447c_0
  pkginfo            pkgs/main/linux-64::pkginfo-1.6.1-py38h06a4308_0
  pluggy             pkgs/main/linux-64::pluggy-0.13.1-py38_0
  ply                pkgs/main/linux-64::ply-3.11-py38_0
  prometheus_client  pkgs/main/noarch::prometheus_client-0.8.0-py_0
  prompt-toolkit     pkgs/main/noarch::prompt-toolkit-3.0.8-py_0
  prompt_toolkit     pkgs/main/noarch::prompt_toolkit-3.0.8-0
  psutil             pkgs/main/linux-64::psutil-5.7.2-py38h7b6447c_0
  ptyprocess         pkgs/main/linux-64::ptyprocess-0.6.0-py38_0
  py                 pkgs/main/noarch::py-1.9.0-py_0
  py-lief            pkgs/main/linux-64::py-lief-0.10.1-py38h403a769_0
  pycodestyle        pkgs/main/noarch::pycodestyle-2.6.0-py_0
  pycosat            pkgs/main/linux-64::pycosat-0.6.3-py38h7b6447c_1
  pycparser          pkgs/main/noarch::pycparser-2.20-py_2
  pycurl             pkgs/main/linux-64::pycurl-7.43.0.6-py38h1ba5d50_0
  pydocstyle         pkgs/main/noarch::pydocstyle-5.1.1-py_0
  pyflakes           pkgs/main/noarch::pyflakes-2.2.0-py_0
  pygments           pkgs/main/noarch::pygments-2.7.2-pyhd3eb1b0_0
  pylint             pkgs/main/linux-64::pylint-2.6.0-py38_0
  pyodbc             pkgs/main/linux-64::pyodbc-4.0.30-py38he6710b0_0
  pyopenssl          pkgs/main/noarch::pyopenssl-19.1.0-py_1
  pyparsing          pkgs/main/noarch::pyparsing-2.4.7-py_0
  pyqt               pkgs/main/linux-64::pyqt-5.9.2-py38h05f1152_4
  pyrsistent         pkgs/main/linux-64::pyrsistent-0.17.3-py38h7b6447c_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py38_0
  pytables           pkgs/main/linux-64::pytables-3.6.1-py38h9fd0a39_0
  pytest             pkgs/main/linux-64::pytest-6.1.1-py38_0
  python             pkgs/main/linux-64::python-3.8.5-h7579374_1
  python-dateutil    pkgs/main/noarch::python-dateutil-2.8.1-py_0
  python-jsonrpc-se~ pkgs/main/noarch::python-jsonrpc-server-0.4.0-py_0
  python-language-s~ pkgs/main/noarch::python-language-server-0.35.1-py_0
  python-libarchive~ pkgs/main/noarch::python-libarchive-c-2.9-py_0
  pytz               pkgs/main/noarch::pytz-2020.1-py_0
  pywavelets         pkgs/main/linux-64::pywavelets-1.1.1-py38h7b6447c_2
  pyxdg              pkgs/main/noarch::pyxdg-0.27-pyhd3eb1b0_0
  pyyaml             pkgs/main/linux-64::pyyaml-5.3.1-py38h7b6447c_1
  pyzmq              pkgs/main/linux-64::pyzmq-19.0.2-py38he6710b0_1
  qdarkstyle         pkgs/main/noarch::qdarkstyle-2.8.1-py_0
  qt                 pkgs/main/linux-64::qt-5.9.7-h5867ecd_1
  qtawesome          pkgs/main/noarch::qtawesome-1.0.1-py_0
  qtconsole          pkgs/main/noarch::qtconsole-4.7.7-py_0
  qtpy               pkgs/main/noarch::qtpy-1.9.0-py_0
  readline           pkgs/main/linux-64::readline-8.0-h7b6447c_0
  regex              pkgs/main/linux-64::regex-2020.10.15-py38h7b6447c_0
  requests           pkgs/main/noarch::requests-2.24.0-py_0
  ripgrep            pkgs/main/linux-64::ripgrep-12.1.1-0
  rope               pkgs/main/noarch::rope-0.18.0-py_0
  rtree              pkgs/main/linux-64::rtree-0.9.4-py38_1
  ruamel_yaml        pkgs/main/linux-64::ruamel_yaml-0.15.87-py38h7b6447c_1
  scikit-image       pkgs/main/linux-64::scikit-image-0.17.2-py38hdf5156a_0
  scikit-learn       pkgs/main/linux-64::scikit-learn-0.23.2-py38h0573a6f_0
  scipy              pkgs/main/linux-64::scipy-1.5.2-py38h0b6359f_0
  seaborn            pkgs/main/noarch::seaborn-0.11.0-py_0
  secretstorage      pkgs/main/linux-64::secretstorage-3.1.2-py38_0
  send2trash         pkgs/main/linux-64::send2trash-1.5.0-py38_0
  setuptools         pkgs/main/linux-64::setuptools-50.3.1-py38h06a4308_1
  simplegeneric      pkgs/main/linux-64::simplegeneric-0.8.1-py38_2
  singledispatch     pkgs/main/noarch::singledispatch-3.4.0.3-py_1001
  sip                pkgs/main/linux-64::sip-4.19.13-py38he6710b0_0
  six                pkgs/main/linux-64::six-1.15.0-py38h06a4308_0
  snowballstemmer    pkgs/main/noarch::snowballstemmer-2.0.0-py_0
  sortedcollections  pkgs/main/noarch::sortedcollections-1.2.1-py_0
  sortedcontainers   pkgs/main/noarch::sortedcontainers-2.2.2-py_0
  soupsieve          pkgs/main/noarch::soupsieve-2.0.1-py_0
  sphinx             pkgs/main/noarch::sphinx-3.2.1-py_0
  sphinxcontrib      pkgs/main/linux-64::sphinxcontrib-1.0-py38_1
  sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.2-py_0
  sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.2-py_0
  sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.3-py_0
  sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
  sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.3-py_0
  sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.4-py_0
  sphinxcontrib-web~ pkgs/main/noarch::sphinxcontrib-websupport-1.2.4-py_0
  spyder             pkgs/main/linux-64::spyder-4.1.5-py38_0
  spyder-kernels     pkgs/main/linux-64::spyder-kernels-1.9.4-py38_0
  sqlalchemy         pkgs/main/linux-64::sqlalchemy-1.3.20-py38h7b6447c_0
  sqlite             pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0
  statsmodels        pkgs/main/linux-64::statsmodels-0.12.0-py38h7b6447c_0
  sympy              pkgs/main/linux-64::sympy-1.6.2-py38h06a4308_1
  tbb                pkgs/main/linux-64::tbb-2020.3-hfd86e86_0
  tblib              pkgs/main/noarch::tblib-1.7.0-py_0
  terminado          pkgs/main/linux-64::terminado-0.9.1-py38_0
  testpath           pkgs/main/noarch::testpath-0.4.4-py_0
  threadpoolctl      pkgs/main/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0
  tifffile           pkgs/main/linux-64::tifffile-2020.10.1-py38hdd07704_2
  tk                 pkgs/main/linux-64::tk-8.6.10-hbc83047_0
  toml               pkgs/main/noarch::toml-0.10.1-py_0
  toolz              pkgs/main/noarch::toolz-0.11.1-py_0
  tornado            pkgs/main/linux-64::tornado-6.0.4-py38h7b6447c_1
  tqdm               pkgs/main/noarch::tqdm-4.50.2-py_0
  traitlets          pkgs/main/noarch::traitlets-5.0.5-py_0
  typing_extensions  pkgs/main/noarch::typing_extensions-3.7.4.3-py_0
  ujson              pkgs/main/linux-64::ujson-4.0.1-py38he6710b0_0
  unicodecsv         pkgs/main/linux-64::unicodecsv-0.14.1-py38_0
  unixodbc           pkgs/main/linux-64::unixodbc-2.3.9-h7b6447c_0
  urllib3            pkgs/main/noarch::urllib3-1.25.11-py_0
  watchdog           pkgs/main/linux-64::watchdog-0.10.3-py38_0
  wcwidth            pkgs/main/noarch::wcwidth-0.2.5-py_0
  webencodings       pkgs/main/linux-64::webencodings-0.5.1-py38_1
  werkzeug           pkgs/main/noarch::werkzeug-1.0.1-py_0
  wheel              pkgs/main/noarch::wheel-0.35.1-py_0
  widgetsnbextension pkgs/main/linux-64::widgetsnbextension-3.5.1-py38_0
  wrapt              pkgs/main/linux-64::wrapt-1.11.2-py38h7b6447c_0
  wurlitzer          pkgs/main/linux-64::wurlitzer-2.0.1-py38_0
  xlrd               pkgs/main/noarch::xlrd-1.2.0-py_0
  xlsxwriter         pkgs/main/noarch::xlsxwriter-1.3.7-py_0
  xlwt               pkgs/main/linux-64::xlwt-1.3.0-py38_0
  xmltodict          pkgs/main/noarch::xmltodict-0.12.0-py_0
  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
  yaml               pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0
  yapf               pkgs/main/noarch::yapf-0.30.0-py_0
  zeromq             pkgs/main/linux-64::zeromq-4.3.3-he6710b0_3
  zict               pkgs/main/noarch::zict-2.0.0-py_0
  zipp               pkgs/main/noarch::zipp-3.4.0-pyhd3eb1b0_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
  zope               pkgs/main/linux-64::zope-1.0-py38_1
  zope.event         pkgs/main/linux-64::zope.event-4.5.0-py38_0
  zope.interface     pkgs/main/linux-64::zope.interface-5.1.2-py38h7b6447c_0
  zstd               pkgs/main/linux-64::zstd-1.4.5-h9ceee32_0


Preparing transaction: done
Executing transaction: done
installation finished.
Do you wish the installer to initialize Anaconda3
by running conda init? [yes|no]
[no] >>> yes
no change     /home/soloelectronicos/anaconda3/condabin/conda
no change     /home/soloelectronicos/anaconda3/bin/conda
no change     /home/soloelectronicos/anaconda3/bin/conda-env
no change     /home/soloelectronicos/anaconda3/bin/activate
no change     /home/soloelectronicos/anaconda3/bin/deactivate
no change     /home/soloelectronicos/anaconda3/etc/profile.d/conda.sh
no change     /home/soloelectronicos/anaconda3/etc/fish/conf.d/conda.fish
no change     /home/soloelectronicos/anaconda3/shell/condabin/Conda.psm1
no change     /home/soloelectronicos/anaconda3/shell/condabin/conda-hook.ps1
no change     /home/soloelectronicos/anaconda3/lib/python3.8/site-packages/xontrib/conda.xsh
no change     /home/soloelectronicos/anaconda3/etc/profile.d/conda.csh
modified      /home/soloelectronicos/.bashrc

==> For changes to take effect, close and re-open your current shell. <==

If you'd prefer that conda's base environment not be activated on startup, 
   set the auto_activate_base parameter to false: 

conda config --set auto_activate_base false

Thank you for installing Anaconda3!

===========================================================================

Working with Python and Jupyter notebooks is a breeze with PyCharm Pro,
designed to be used with Anaconda. Download now and have the best data
tools at your fingertips.

PyCharm Pro for Anaconda is available at: https://www.anaconda.com/pycharm

[email protected]:~/Descargas$ source ~/.bashrc
(base) [email protected]:~/Descargas$ conda info

     active environment : base
    active env location : /home/soloelectronicos/anaconda3
            shell level : 1
       user config file : /home/soloelectronicos/.condarc
 populated config files : 
          conda version : 4.9.2
    conda-build version : 3.20.5
         python version : 3.8.5.final.0
       virtual packages : __glibc=2.31=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /home/soloelectronicos/anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /home/soloelectronicos/anaconda3/pkgs
                          /home/soloelectronicos/.conda/pkgs
       envs directories : /home/soloelectronicos/anaconda3/envs
                          /home/soloelectronicos/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.2 requests/2.24.0 CPython/3.8.5 Linux/5.11.0-27-generic ubuntu/20.04.3 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

(base) [email protected]:~/Descargas$ conda update conda
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - conda


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    backports.functools_lru_cache-1.6.4|     pyhd3eb1b0_0           9 KB
    backports.tempfile-1.0     |     pyhd3eb1b0_1          11 KB
    conda-4.10.3               |   py38h06a4308_0         2.9 MB
    conda-package-handling-1.7.3|   py38h27cfd23_1         884 KB
    ------------------------------------------------------------
                                           Total:         3.8 MB

The following packages will be UPDATED:

  backports.functoo~                             1.6.1-py_0 --> 1.6.4-pyhd3eb1b0_0
  conda                                4.9.2-py38h06a4308_0 --> 4.10.3-py38h06a4308_0
  conda-package-han~                   1.7.2-py38h03888b9_0 --> 1.7.3-py38h27cfd23_1

The following packages will be DOWNGRADED:

  backports.tempfile                               1.0-py_1 --> 1.0-pyhd3eb1b0_1


Proceed ([y]/n)? y


Downloading and Extracting Packages
backports.tempfile-1 | 11 KB     | ##################################### | 100% 
backports.functools_ | 9 KB      | ##################################### | 100% 
conda-4.10.3         | 2.9 MB    | ##################################### | 100% 
conda-package-handli | 884 KB    | ##################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) [email protected]:~/Descargas$ conda update anaconda
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - anaconda


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _anaconda_depends-2020.07  |           py38_0           6 KB
    _openmp_mutex-4.5          |            1_gnu          22 KB
    alabaster-0.7.12           |     pyhd3eb1b0_0          16 KB
    anaconda-custom            |           py38_1          35 KB
    anaconda-client-1.8.0      |   py38h06a4308_0         152 KB
    anaconda-project-0.10.1    |     pyhd3eb1b0_0         218 KB
    anyio-2.2.0                |   py38h06a4308_1         125 KB
    appdirs-1.4.4              |             py_0          13 KB
    argon2-cffi-20.1.0         |   py38h27cfd23_1          46 KB
    astroid-2.6.6              |   py38h06a4308_0         309 KB
    astropy-4.3.1              |   py38h09021b7_0         6.4 MB
    async_generator-1.10       |     pyhd3eb1b0_0          23 KB
    attrs-21.2.0               |     pyhd3eb1b0_0          46 KB
    babel-2.9.1                |     pyhd3eb1b0_0         5.5 MB
    backcall-0.2.0             |     pyhd3eb1b0_0          13 KB
    backports-1.0              |     pyhd3eb1b0_2         210 KB
    backports.shutil_get_terminal_size-1.0.0|     pyhd3eb1b0_3          10 KB
    beautifulsoup4-4.9.3       |     pyha847dfd_0          86 KB
    bitarray-2.3.0             |   py38h7f8727e_1         139 KB
    black-19.10b0              |             py_0          86 KB
    bleach-4.0.0               |     pyhd3eb1b0_0         113 KB
    blosc-1.21.0               |       h8c45485_0          64 KB
    bokeh-2.3.3                |   py38h06a4308_0         5.9 MB
    brotli-1.0.9               |       he6710b0_2         375 KB
    brotlipy-0.7.0             |py38h27cfd23_1003         323 KB
    c-ares-1.17.1              |       h27cfd23_0         108 KB
    ca-certificates-2021.7.5   |       h06a4308_1         113 KB
    cairo-1.16.0               |       hf32fb01_1         1.0 MB
    certifi-2021.5.30          |   py38h06a4308_0         138 KB
    cffi-1.14.6                |   py38h400218f_0         224 KB
    chardet-4.0.0              |py38h06a4308_1003         194 KB
    charset-normalizer-2.0.4   |     pyhd3eb1b0_0          35 KB
    click-8.0.1                |     pyhd3eb1b0_0          79 KB
    colorama-0.4.4             |     pyhd3eb1b0_0          21 KB
    conda-pack-0.6.0           |     pyhd3eb1b0_0          29 KB
    cryptography-3.4.7         |   py38hd23ed53_0         913 KB
    curl-7.78.0                |       h1ccaba5_0          94 KB
    cython-0.29.24             |   py38h295c915_0         2.0 MB
    dask-2021.8.1              |     pyhd3eb1b0_0          18 KB
    dask-core-2021.8.1         |     pyhd3eb1b0_0         715 KB
    debugpy-1.4.1              |   py38h295c915_0         1.7 MB
    decorator-5.0.9            |     pyhd3eb1b0_0          12 KB
    defusedxml-0.7.1           |     pyhd3eb1b0_0          23 KB
    distributed-2021.8.1       |   py38h06a4308_0         970 KB
    docutils-0.17.1            |   py38h06a4308_1         686 KB
    et_xmlfile-1.1.0           |   py38h06a4308_0          10 KB
    expat-2.4.1                |       h2531618_2         168 KB
    filelock-3.0.12            |     pyhd3eb1b0_1          10 KB
    flask-1.1.2                |     pyhd3eb1b0_0          70 KB
    fontconfig-2.13.1          |       h6c09931_0         250 KB
    fonttools-4.25.0           |     pyhd3eb1b0_0         632 KB
    fsspec-2021.7.0            |     pyhd3eb1b0_0          91 KB
    gevent-21.8.0              |   py38h7f8727e_1         1.5 MB
    glib-2.69.1                |       h5202010_0         1.7 MB
    glob2-0.7                  |     pyhd3eb1b0_0          12 KB
    gmp-6.2.1                  |       h2531618_2         539 KB
    greenlet-1.1.1             |   py38h295c915_0          82 KB
    gst-plugins-base-1.14.0    |       h8213a91_2         4.9 MB
    gstreamer-1.14.0           |       h28cd5cc_2         3.2 MB
    harfbuzz-2.8.1             |       h6f93f22_0         1.1 MB
    idna-3.2                   |     pyhd3eb1b0_0          48 KB
    imageio-2.9.0              |     pyhd3eb1b0_0         3.0 MB
    imagesize-1.2.0            |     pyhd3eb1b0_0           9 KB
    importlib-metadata-3.10.0  |   py38h06a4308_0          33 KB
    importlib_metadata-3.10.0  |       hd3eb1b0_0          11 KB
    iniconfig-1.1.1            |     pyhd3eb1b0_0           8 KB
    intel-openmp-2021.3.0      |    h06a4308_3350         1.4 MB
    ipykernel-6.2.0            |   py38h06a4308_1         192 KB
    ipython-7.26.0             |   py38hb070fc8_0         994 KB
    ipython_genutils-0.2.0     |     pyhd3eb1b0_1          27 KB
    ipywidgets-7.6.3           |     pyhd3eb1b0_1         105 KB
    isort-5.9.3                |     pyhd3eb1b0_0          83 KB
    itsdangerous-2.0.1         |     pyhd3eb1b0_0          18 KB
    jedi-0.17.2                |   py38h06a4308_1         924 KB
    jeepney-0.7.1              |     pyhd3eb1b0_0          38 KB
    jinja2-3.0.1               |     pyhd3eb1b0_0         110 KB
    joblib-1.0.1               |     pyhd3eb1b0_0         208 KB
    json5-0.9.6                |     pyhd3eb1b0_0          21 KB
    jupyter_client-6.1.12      |     pyhd3eb1b0_0          88 KB
    jupyter_console-6.4.0      |     pyhd3eb1b0_0          23 KB
    jupyter_core-4.7.1         |   py38h06a4308_0          68 KB
    jupyter_server-1.4.1       |   py38h06a4308_0         317 KB
    jupyterlab-3.1.7           |     pyhd3eb1b0_0         3.6 MB
    jupyterlab_server-2.7.1    |     pyhd3eb1b0_0          44 KB
    jupyterlab_widgets-1.0.0   |     pyhd3eb1b0_1         109 KB
    keyring-23.0.1             |   py38h06a4308_0          54 KB
    kiwisolver-1.3.1           |   py38h2531618_0          80 KB
    krb5-1.19.2                |       hac12032_0         1.2 MB
    lazy-object-proxy-1.6.0    |   py38h27cfd23_0          30 KB
    lcms2-2.12                 |       h3be6417_0         312 KB
    ld_impl_linux-64-2.35.1    |       h7274673_9         586 KB
    libcurl-7.78.0             |       h0b77cf5_0         338 KB
    libedit-3.1.20210714       |       h7f8727e_0         165 KB
    libev-4.33                 |       h7b6447c_0         112 KB
    libgcc-ng-9.3.0            |      h5101ec6_17         4.8 MB
    libgfortran-ng-7.5.0       |      ha8ba4b0_17          22 KB
    libgfortran4-7.5.0         |      ha8ba4b0_17         995 KB
    libgomp-9.3.0              |      h5101ec6_17         311 KB
    libllvm9-9.0.1             |       h4a3c616_1        21.0 MB
    libnghttp2-1.41.0          |       hf8bcb03_2         667 KB
    libspatialindex-1.9.3      |       h2531618_0         2.1 MB
    libstdcxx-ng-9.3.0         |      hd4cf53a_17         3.1 MB
    libtiff-4.2.0              |       h85742a9_0         502 KB
    libuv-1.40.0               |       h7b6447c_0         736 KB
    libwebp-base-1.2.0         |       h27cfd23_0         437 KB
    libxml2-2.9.12             |       h03d6c58_0         1.2 MB
    llvmlite-0.36.0            |   py38h612dafd_4         396 KB
    locket-0.2.1               |   py38h06a4308_1          10 KB
    lxml-4.6.3                 |   py38h9120a33_0         1.3 MB
    lz4-c-1.9.3                |       h295c915_1         185 KB
    markupsafe-2.0.1           |   py38h27cfd23_0          22 KB
    matplotlib-3.4.2           |   py38h06a4308_0          26 KB
    matplotlib-base-3.4.2      |   py38hab158f2_0         5.6 MB
    matplotlib-inline-0.1.2    |     pyhd3eb1b0_2          12 KB
    mkl-2021.3.0               |     h06a4308_520       141.2 MB
    mkl-service-2.4.0          |   py38h7f8727e_0          59 KB
    mkl_fft-1.3.0              |   py38h42c9631_2         180 KB
    mkl_random-1.2.2           |   py38h51133e4_0         308 KB
    mock-4.0.3                 |     pyhd3eb1b0_0          29 KB
    more-itertools-8.8.0       |     pyhd3eb1b0_0          42 KB
    mpmath-1.2.1               |   py38h06a4308_0         766 KB
    msgpack-python-1.0.2       |   py38hff7bd54_1          83 KB
    munkres-1.1.4              |             py_0          13 KB
    mypy_extensions-0.4.3      |           py38_0           9 KB
    nbclassic-0.2.6            |     pyhd3eb1b0_0          19 KB
    nbclient-0.5.3             |     pyhd3eb1b0_0          62 KB
    nbconvert-6.1.0            |   py38h06a4308_0         481 KB
    nbformat-5.1.3             |     pyhd3eb1b0_0          44 KB
    nest-asyncio-1.5.1         |     pyhd3eb1b0_0          10 KB
    networkx-2.6.2             |     pyhd3eb1b0_0         1.3 MB
    nltk-3.6.2                 |     pyhd3eb1b0_0         988 KB
    nose-1.3.7                 |  pyhd3eb1b0_1006         128 KB
    notebook-6.4.3             |   py38h06a4308_0         4.2 MB
    numba-0.53.1               |   py38ha9443f7_0         3.3 MB
    numexpr-2.7.3              |   py38h22e1b3c_1         188 KB
    numpy-1.20.3               |   py38hf144106_0          23 KB
    numpy-base-1.20.3          |   py38h74d4b33_0         4.5 MB
    openjpeg-2.4.0             |       h3ad879b_0         331 KB
    openpyxl-3.0.7             |     pyhd3eb1b0_0         159 KB
    openssl-1.1.1l             |       h7f8727e_0         2.5 MB
    packaging-21.0             |     pyhd3eb1b0_0          36 KB
    pandas-1.3.2               |   py38h8c16a72_0         9.6 MB
    pandoc-2.12                |       h06a4308_0         9.5 MB
    partd-1.2.0                |     pyhd3eb1b0_0          19 KB
    patchelf-0.12              |       h2531618_1          88 KB
    path-16.0.0                |   py38h06a4308_0          37 KB
    pathlib2-2.3.6             |   py38h06a4308_2          36 KB
    pathspec-0.7.0             |             py_0          26 KB
    pcre-8.45                  |       h295c915_0         207 KB
    pexpect-4.8.0              |     pyhd3eb1b0_3          53 KB
    pickleshare-0.7.5          |  pyhd3eb1b0_1003          13 KB
    pillow-8.3.1               |   py38h2c7a002_0         638 KB
    pip-21.0.1                 |   py38h06a4308_0         1.8 MB
    pkginfo-1.7.1              |   py38h06a4308_0          43 KB
    pluggy-0.13.1              |   py38h06a4308_0          33 KB
    prometheus_client-0.11.0   |     pyhd3eb1b0_0          47 KB
    prompt-toolkit-3.0.17      |     pyh06a4308_0         256 KB
    prompt_toolkit-3.0.17      |       hd3eb1b0_0          12 KB
    psutil-5.8.0               |   py38h27cfd23_1         327 KB
    ptyprocess-0.7.0           |     pyhd3eb1b0_2          17 KB
    py-1.10.0                  |     pyhd3eb1b0_0          76 KB
    pycodestyle-2.6.0          |     pyhd3eb1b0_0          38 KB
    pydocstyle-6.1.1           |     pyhd3eb1b0_0          36 KB
    pyerfa-2.0.0               |   py38h27cfd23_0         345 KB
    pyflakes-2.2.0             |     pyhd3eb1b0_0          56 KB
    pygments-2.10.0            |     pyhd3eb1b0_0         725 KB
    pylint-2.9.6               |   py38h06a4308_1         488 KB
    pyls-black-0.4.6           |       hd3eb1b0_0           9 KB
    pyls-spyder-0.3.2          |     pyhd3eb1b0_0          10 KB
    pyodbc-4.0.31              |   py38h295c915_0          71 KB
    pyopenssl-20.0.1           |     pyhd3eb1b0_1          49 KB
    pyparsing-2.4.7            |     pyhd3eb1b0_0          59 KB
    pysocks-1.7.1              |   py38h06a4308_0          31 KB
    pytest-6.2.4               |   py38h06a4308_2         423 KB
    python-dateutil-2.8.2      |     pyhd3eb1b0_0         233 KB
    python-language-server-0.36.2|     pyhd3eb1b0_0          41 KB
    python-libarchive-c-2.9    |     pyhd3eb1b0_1          47 KB
    pytz-2021.1                |     pyhd3eb1b0_0         181 KB
    pyyaml-5.4.1               |   py38h27cfd23_1         174 KB
    pyzmq-22.2.1               |   py38h295c915_1         465 KB
    qtawesome-1.0.2            |     pyhd3eb1b0_0         760 KB
    qtconsole-5.1.0            |     pyhd3eb1b0_0          98 KB
    qtpy-1.10.0                |     pyhd3eb1b0_0          35 KB
    readline-8.1               |       h27cfd23_0         362 KB
    regex-2021.8.3             |   py38h7f8727e_0         319 KB
    requests-2.26.0            |     pyhd3eb1b0_0          59 KB
    rope-0.19.0                |     pyhd3eb1b0_0         126 KB
    rtree-0.9.7                |   py38h06a4308_1          48 KB
    ruamel_yaml-0.15.100       |   py38h27cfd23_0         258 KB
    scikit-image-0.18.1        |   py38ha9443f7_0         9.5 MB
    scikit-learn-0.24.2        |   py38ha9443f7_0         5.4 MB
    scipy-1.6.2                |   py38had2a1c9_1        15.6 MB
    seaborn-0.11.2             |     pyhd3eb1b0_0         218 KB
    secretstorage-3.3.1        |   py38h06a4308_0          24 KB
    send2trash-1.5.0           |     pyhd3eb1b0_1          14 KB
    setuptools-52.0.0          |   py38h06a4308_0         714 KB
    singledispatch-3.7.0       |  pyhd3eb1b0_1001          12 KB
    six-1.16.0                 |     pyhd3eb1b0_0          18 KB
    snappy-1.1.8               |       he6710b0_0          40 KB
    sniffio-1.2.0              |   py38h06a4308_1          15 KB
    snowballstemmer-2.1.0      |     pyhd3eb1b0_0          62 KB
    sortedcollections-2.1.0    |     pyhd3eb1b0_0          12 KB
    sortedcontainers-2.4.0     |     pyhd3eb1b0_0          26 KB
    soupsieve-2.2.1            |     pyhd3eb1b0_0          32 KB
    sphinx-4.0.2               |     pyhd3eb1b0_0         1.2 MB
    sphinxcontrib-applehelp-1.0.2|     pyhd3eb1b0_0          29 KB
    sphinxcontrib-devhelp-1.0.2|     pyhd3eb1b0_0          23 KB
    sphinxcontrib-htmlhelp-2.0.0|     pyhd3eb1b0_0          32 KB
    sphinxcontrib-jsmath-1.0.1 |     pyhd3eb1b0_0           8 KB
    sphinxcontrib-qthelp-1.0.3 |     pyhd3eb1b0_0          26 KB
    sphinxcontrib-serializinghtml-1.1.5|     pyhd3eb1b0_0          25 KB
    spyder-4.2.5               |   py38h06a4308_0         5.4 MB
    spyder-kernels-1.10.2      |   py38h06a4308_0         102 KB
    sqlalchemy-1.4.22          |   py38h7f8727e_0         1.8 MB
    sqlite-3.36.0              |       hc218d9a_0         990 KB
    statsmodels-0.12.2         |   py38h27cfd23_0         8.5 MB
    sympy-1.8                  |   py38h06a4308_0         9.1 MB
    terminado-0.9.4            |   py38h06a4308_0          25 KB
    testpath-0.5.0             |     pyhd3eb1b0_0          81 KB
    textdistance-4.2.1         |     pyhd3eb1b0_0          29 KB
    threadpoolctl-2.2.0        |     pyhbf3da8f_0          16 KB
    three-merge-0.1.1          |     pyhd3eb1b0_0          10 KB
    toml-0.10.2                |     pyhd3eb1b0_0          20 KB
    toolz-0.11.1               |     pyhd3eb1b0_0          46 KB
    tornado-6.1                |   py38h27cfd23_0         588 KB
    tqdm-4.62.1                |     pyhd3eb1b0_1          84 KB
    traitlets-5.0.5            |     pyhd3eb1b0_0          81 KB
    typed-ast-1.4.3            |   py38h7f8727e_1         185 KB
    typing_extensions-3.10.0.0 |     pyh06a4308_0          27 KB
    ujson-4.0.2                |   py38h2531618_0          45 KB
    urllib3-1.26.6             |     pyhd3eb1b0_1         112 KB
    watchdog-1.0.2             |   py38h06a4308_1          89 KB
    werkzeug-1.0.1             |     pyhd3eb1b0_0         239 KB
    wheel-0.37.0               |     pyhd3eb1b0_0          32 KB
    wrapt-1.12.1               |   py38h7b6447c_1          50 KB
    wurlitzer-2.1.1            |   py38h06a4308_0          13 KB
    xlrd-2.0.1                 |     pyhd3eb1b0_0          90 KB
    xlsxwriter-3.0.1           |     pyhd3eb1b0_0         111 KB
    yapf-0.31.0                |     pyhd3eb1b0_0         126 KB
    zeromq-4.3.4               |       h2531618_0         331 KB
    zict-2.0.0                 |     pyhd3eb1b0_0          10 KB
    zipp-3.5.0                 |     pyhd3eb1b0_0          13 KB
    zope.interface-5.4.0       |   py38h7f8727e_0         301 KB
    zstd-1.4.9                 |       haebb681_0         480 KB
    ------------------------------------------------------------
                                           Total:       352.0 MB

The following NEW packages will be INSTALLED:

  _anaconda_depends  pkgs/main/linux-64::_anaconda_depends-2020.07-py38_0
  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu
  anyio              pkgs/main/linux-64::anyio-2.2.0-py38h06a4308_1
  appdirs            pkgs/main/noarch::appdirs-1.4.4-py_0
  black              pkgs/main/noarch::black-19.10b0-py_0
  brotli             pkgs/main/linux-64::brotli-1.0.9-he6710b0_2
  c-ares             pkgs/main/linux-64::c-ares-1.17.1-h27cfd23_0
  charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
  conda-pack         pkgs/main/noarch::conda-pack-0.6.0-pyhd3eb1b0_0
  debugpy            pkgs/main/linux-64::debugpy-1.4.1-py38h295c915_0
  fonttools          pkgs/main/noarch::fonttools-4.25.0-pyhd3eb1b0_0
  jupyter_server     pkgs/main/linux-64::jupyter_server-1.4.1-py38h06a4308_0
  jupyterlab_widgets pkgs/main/noarch::jupyterlab_widgets-1.0.0-pyhd3eb1b0_1
  libev              pkgs/main/linux-64::libev-4.33-h7b6447c_0
  libgfortran4       pkgs/main/linux-64::libgfortran4-7.5.0-ha8ba4b0_17
  libgomp            pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17
  libllvm9           pkgs/main/linux-64::libllvm9-9.0.1-h4a3c616_1
  libnghttp2         pkgs/main/linux-64::libnghttp2-1.41.0-hf8bcb03_2
  libuv              pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0
  libwebp-base       pkgs/main/linux-64::libwebp-base-1.2.0-h27cfd23_0
  matplotlib-inline  pkgs/main/noarch::matplotlib-inline-0.1.2-pyhd3eb1b0_2
  munkres            pkgs/main/noarch::munkres-1.1.4-py_0
  mypy_extensions    pkgs/main/linux-64::mypy_extensions-0.4.3-py38_0
  nbclassic          pkgs/main/noarch::nbclassic-0.2.6-pyhd3eb1b0_0
  openjpeg           pkgs/main/linux-64::openjpeg-2.4.0-h3ad879b_0
  pathspec           pkgs/main/noarch::pathspec-0.7.0-py_0
  pyerfa             pkgs/main/linux-64::pyerfa-2.0.0-py38h27cfd23_0
  pyls-black         pkgs/main/noarch::pyls-black-0.4.6-hd3eb1b0_0
  pyls-spyder        pkgs/main/noarch::pyls-spyder-0.3.2-pyhd3eb1b0_0
  snappy             pkgs/main/linux-64::snappy-1.1.8-he6710b0_0
  sniffio            pkgs/main/linux-64::sniffio-1.2.0-py38h06a4308_1
  textdistance       pkgs/main/noarch::textdistance-4.2.1-pyhd3eb1b0_0
  three-merge        pkgs/main/noarch::three-merge-0.1.1-pyhd3eb1b0_0
  typed-ast          pkgs/main/linux-64::typed-ast-1.4.3-py38h7f8727e_1

The following packages will be UPDATED:

  anaconda-client                              1.7.2-py38_0 --> 1.8.0-py38h06a4308_0
  anaconda-project                               0.8.4-py_0 --> 0.10.1-pyhd3eb1b0_0
  astroid                                      2.4.2-py38_0 --> 2.6.6-py38h06a4308_0
  astropy                              4.0.2-py38h7b6447c_0 --> 4.3.1-py38h09021b7_0
  attrs                                 20.3.0-pyhd3eb1b0_0 --> 21.2.0-pyhd3eb1b0_0
  babel                                  2.8.1-pyhd3eb1b0_0 --> 2.9.1-pyhd3eb1b0_0
  backports.shutil_~ pkgs/main/linux-64::backports.shutil_~ --> pkgs/main/noarch::backports.shutil_get_terminal_size-1.0.0-pyhd3eb1b0_3
  bitarray                             1.6.1-py38h27cfd23_0 --> 2.3.0-py38h7f8727e_1
  bleach                                         3.2.1-py_0 --> 4.0.0-pyhd3eb1b0_0
  blosc                                   1.20.1-hd408876_0 --> 1.21.0-h8c45485_0
  bokeh                                        2.2.3-py38_0 --> 2.3.3-py38h06a4308_0
  brotlipy                          0.7.0-py38h7b6447c_1000 --> 0.7.0-py38h27cfd23_1003
  ca-certificates                              2020.10.14-0 --> 2021.7.5-h06a4308_1
  cairo                                  1.14.12-h8948797_3 --> 1.16.0-hf32fb01_1
  certifi            pkgs/main/noarch::certifi-2020.6.20-p~ --> pkgs/main/linux-64::certifi-2021.5.30-py38h06a4308_0
  cffi                                1.14.3-py38he30daa8_0 --> 1.14.6-py38h400218f_0
  chardet                                   3.0.4-py38_1003 --> 4.0.0-py38h06a4308_1003
  click                                          7.1.2-py_0 --> 8.0.1-pyhd3eb1b0_0
  cryptography                         3.1.1-py38h1ba5d50_0 --> 3.4.7-py38hd23ed53_0
  curl                                    7.71.1-hbc83047_1 --> 7.78.0-h1ccaba5_0
  cython                             0.29.21-py38he6710b0_0 --> 0.29.24-py38h295c915_0
  dask                                          2.30.0-py_0 --> 2021.8.1-pyhd3eb1b0_0
  dask-core                                     2.30.0-py_0 --> 2021.8.1-pyhd3eb1b0_0
  decorator                                      4.4.2-py_0 --> 5.0.9-pyhd3eb1b0_0
  defusedxml                                     0.6.0-py_0 --> 0.7.1-pyhd3eb1b0_0
  distributed                         2.30.1-py38h06a4308_0 --> 2021.8.1-py38h06a4308_0
  docutils                                      0.16-py38_1 --> 0.17.1-py38h06a4308_1
  et_xmlfile         pkgs/main/noarch::et_xmlfile-1.0.1-py~ --> pkgs/main/linux-64::et_xmlfile-1.1.0-py38h06a4308_0
  expat                                   2.2.10-he6710b0_2 --> 2.4.1-h2531618_2
  filelock                                      3.0.12-py_0 --> 3.0.12-pyhd3eb1b0_1
  fontconfig                              2.13.0-h9420a91_0 --> 2.13.1-h6c09931_0
  fsspec                                         0.8.3-py_0 --> 2021.7.0-pyhd3eb1b0_0
  gevent                              20.9.0-py38h7b6447c_0 --> 21.8.0-py38h7f8727e_1
  glib                                    2.66.1-h92f7085_0 --> 2.69.1-h5202010_0
  gmp                                      6.1.2-h6c8ec71_1 --> 6.2.1-h2531618_2
  greenlet                            0.4.17-py38h7b6447c_0 --> 1.1.1-py38h295c915_0
  gst-plugins-base                        1.14.0-hbbd80ab_1 --> 1.14.0-h8213a91_2
  gstreamer                               1.14.0-hb31296c_0 --> 1.14.0-h28cd5cc_2
  harfbuzz                                 2.4.0-hca77d97_1 --> 2.8.1-h6f93f22_0
  idna                                            2.10-py_0 --> 3.2-pyhd3eb1b0_0
  importlib-metadata pkgs/main/noarch::importlib-metadata-~ --> pkgs/main/linux-64::importlib-metadata-3.10.0-py38h06a4308_0
  importlib_metadata                                2.0.0-1 --> 3.10.0-hd3eb1b0_0
  intel-openmp                                   2020.2-254 --> 2021.3.0-h06a4308_3350
  ipykernel                            5.3.4-py38h5ca1d4c_0 --> 6.2.0-py38h06a4308_1
  ipython                             7.19.0-py38hb070fc8_0 --> 7.26.0-py38hb070fc8_0
  ipython_genutils   pkgs/main/linux-64::ipython_genutils-~ --> pkgs/main/noarch::ipython_genutils-0.2.0-pyhd3eb1b0_1
  ipywidgets                                     7.5.1-py_1 --> 7.6.3-pyhd3eb1b0_1
  isort                                          5.6.4-py_0 --> 5.9.3-pyhd3eb1b0_0
  itsdangerous                                   1.1.0-py_0 --> 2.0.1-pyhd3eb1b0_0
  jedi                                        0.17.1-py38_0 --> 0.17.2-py38h06a4308_1
  jeepney                                0.5.0-pyhd3eb1b0_0 --> 0.7.1-pyhd3eb1b0_0
  jinja2                                        2.11.2-py_0 --> 3.0.1-pyhd3eb1b0_0
  joblib                                        0.17.0-py_0 --> 1.0.1-pyhd3eb1b0_0
  json5                                          0.9.5-py_0 --> 0.9.6-pyhd3eb1b0_0
  jupyter_client                                 6.1.7-py_0 --> 6.1.12-pyhd3eb1b0_0
  jupyter_console                                6.2.0-py_0 --> 6.4.0-pyhd3eb1b0_0
  jupyter_core                                 4.6.3-py38_0 --> 4.7.1-py38h06a4308_0
  jupyterlab                                     2.2.6-py_0 --> 3.1.7-pyhd3eb1b0_0
  jupyterlab_server                              1.2.0-py_0 --> 2.7.1-pyhd3eb1b0_0
  keyring                                     21.4.0-py38_1 --> 23.0.1-py38h06a4308_0
  kiwisolver                           1.3.0-py38h2531618_0 --> 1.3.1-py38h2531618_0
  krb5                                    1.18.2-h173b8e3_0 --> 1.19.2-hac12032_0
  lazy-object-proxy                    1.4.3-py38h7b6447c_0 --> 1.6.0-py38h27cfd23_0
  lcms2                                     2.11-h396b838_0 --> 2.12-h3be6417_0
  ld_impl_linux-64                        2.33.1-h53a641e_7 --> 2.35.1-h7274673_9
  libcurl                                 7.71.1-h20c2e04_1 --> 7.78.0-h0b77cf5_0
  libedit                           3.1.20191231-h14c3975_1 --> 3.1.20210714-h7f8727e_0
  libgcc-ng                                9.1.0-hdf63c60_0 --> 9.3.0-h5101ec6_17
  libgfortran-ng                           7.3.0-hdf63c60_0 --> 7.5.0-ha8ba4b0_17
  libstdcxx-ng                             9.1.0-hdf63c60_0 --> 9.3.0-hd4cf53a_17
  libtiff                                  4.1.0-h2733197_1 --> 4.2.0-h85742a9_0
  libxml2                                 2.9.10-hb55368b_3 --> 2.9.12-h03d6c58_0
  llvmlite                            0.34.0-py38h269e1b5_4 --> 0.36.0-py38h612dafd_4
  locket                                       0.2.0-py38_1 --> 0.2.1-py38h06a4308_1
  lxml                                 4.6.1-py38hefd8a0e_0 --> 4.6.3-py38h9120a33_0
  lz4-c                                    1.9.2-heb0550a_3 --> 1.9.3-h295c915_1
  markupsafe                           1.1.1-py38h7b6447c_0 --> 2.0.1-py38h27cfd23_0
  matplotlib                                        3.3.2-0 --> 3.4.2-py38h06a4308_0
  matplotlib-base                      3.3.2-py38h817c723_0 --> 3.4.2-py38hab158f2_0
  mkl                                            2020.2-256 --> 2021.3.0-h06a4308_520
  mkl-service                          2.3.0-py38he904b0f_0 --> 2.4.0-py38h7f8727e_0
  mkl_fft                              1.2.0-py38h23d657b_0 --> 1.3.0-py38h42c9631_2
  mkl_random                           1.1.1-py38h0573a6f_0 --> 1.2.2-py38h51133e4_0
  mock                                           4.0.2-py_0 --> 4.0.3-pyhd3eb1b0_0
  more-itertools                         8.6.0-pyhd3eb1b0_0 --> 8.8.0-pyhd3eb1b0_0
  mpmath                                       1.1.0-py38_0 --> 1.2.1-py38h06a4308_0
  msgpack-python                       1.0.0-py38hfd86e86_1 --> 1.0.2-py38hff7bd54_1
  nbclient                                       0.5.1-py_0 --> 0.5.3-pyhd3eb1b0_0
  nbconvert                                    6.0.7-py38_0 --> 6.1.0-py38h06a4308_0
  nbformat                                       5.0.8-py_0 --> 5.1.3-pyhd3eb1b0_0
  nest-asyncio                           1.4.2-pyhd3eb1b0_0 --> 1.5.1-pyhd3eb1b0_0
  networkx                                         2.5-py_0 --> 2.6.2-pyhd3eb1b0_0
  nltk                                             3.5-py_0 --> 3.6.2-pyhd3eb1b0_0
  nose                pkgs/main/linux-64::nose-1.3.7-py38_2 --> pkgs/main/noarch::nose-1.3.7-pyhd3eb1b0_1006
  notebook                                     6.1.4-py38_0 --> 6.4.3-py38h06a4308_0
  numba                               0.51.2-py38h0573a6f_1 --> 0.53.1-py38ha9443f7_0
  numexpr                              2.7.1-py38h423224d_0 --> 2.7.3-py38h22e1b3c_1
  numpy                               1.19.2-py38h54aff64_0 --> 1.20.3-py38hf144106_0
  numpy-base                          1.19.2-py38hfa32c7d_0 --> 1.20.3-py38h74d4b33_0
  openpyxl                                       3.0.5-py_0 --> 3.0.7-pyhd3eb1b0_0
  openssl                                 1.1.1h-h7b6447c_0 --> 1.1.1l-h7f8727e_0
  packaging                                       20.4-py_0 --> 21.0-pyhd3eb1b0_0
  pandas                               1.1.3-py38he6710b0_0 --> 1.3.2-py38h8c16a72_0
  pandoc                                    2.11-hb0f4dca_0 --> 2.12-h06a4308_0
  partd                                          1.1.0-py_0 --> 1.2.0-pyhd3eb1b0_0
  patchelf                                  0.12-he6710b0_0 --> 0.12-h2531618_1
  path                                        15.0.0-py38_0 --> 16.0.0-py38h06a4308_0
  pathlib2                                     2.3.5-py38_0 --> 2.3.6-py38h06a4308_2
  pcre                                      8.44-he6710b0_0 --> 8.45-h295c915_0
  pexpect            pkgs/main/linux-64::pexpect-4.8.0-py3~ --> pkgs/main/noarch::pexpect-4.8.0-pyhd3eb1b0_3
  pickleshare        pkgs/main/linux-64::pickleshare-0.7.5~ --> pkgs/main/noarch::pickleshare-0.7.5-pyhd3eb1b0_1003
  pillow                               8.0.1-py38he98fc37_0 --> 8.3.1-py38h2c7a002_0
  pip                                 20.2.4-py38h06a4308_0 --> 21.0.1-py38h06a4308_0
  pkginfo                              1.6.1-py38h06a4308_0 --> 1.7.1-py38h06a4308_0
  prometheus_client                              0.8.0-py_0 --> 0.11.0-pyhd3eb1b0_0
  prompt-toolkit                                 3.0.8-py_0 --> 3.0.17-pyh06a4308_0
  prompt_toolkit                                    3.0.8-0 --> 3.0.17-hd3eb1b0_0
  psutil                               5.7.2-py38h7b6447c_0 --> 5.8.0-py38h27cfd23_1
  ptyprocess         pkgs/main/linux-64::ptyprocess-0.6.0-~ --> pkgs/main/noarch::ptyprocess-0.7.0-pyhd3eb1b0_2
  py                                             1.9.0-py_0 --> 1.10.0-pyhd3eb1b0_0
  pydocstyle                                     5.1.1-py_0 --> 6.1.1-pyhd3eb1b0_0
  pygments                               2.7.2-pyhd3eb1b0_0 --> 2.10.0-pyhd3eb1b0_0
  pylint                                       2.6.0-py38_0 --> 2.9.6-py38h06a4308_1
  pyodbc                              4.0.30-py38he6710b0_0 --> 4.0.31-py38h295c915_0
  pyopenssl                                     19.1.0-py_1 --> 20.0.1-pyhd3eb1b0_1
  pytest                                       6.1.1-py38_0 --> 6.2.4-py38h06a4308_2
  python-dateutil                                2.8.1-py_0 --> 2.8.2-pyhd3eb1b0_0
  python-language-s~                            0.35.1-py_0 --> 0.36.2-pyhd3eb1b0_0
  python-libarchive~                               2.9-py_0 --> 2.9-pyhd3eb1b0_1
  pytz                                          2020.1-py_0 --> 2021.1-pyhd3eb1b0_0
  pyyaml                               5.3.1-py38h7b6447c_1 --> 5.4.1-py38h27cfd23_1
  pyzmq                               19.0.2-py38he6710b0_1 --> 22.2.1-py38h295c915_1
  qtawesome                                      1.0.1-py_0 --> 1.0.2-pyhd3eb1b0_0
  qtconsole                                      4.7.7-py_0 --> 5.1.0-pyhd3eb1b0_0
  qtpy                                           1.9.0-py_0 --> 1.10.0-pyhd3eb1b0_0
  readline                                   8.0-h7b6447c_0 --> 8.1-h27cfd23_0
  regex                           2020.10.15-py38h7b6447c_0 --> 2021.8.3-py38h7f8727e_0
  requests                                      2.24.0-py_0 --> 2.26.0-pyhd3eb1b0_0
  rope                                          0.18.0-py_0 --> 0.19.0-pyhd3eb1b0_0
  rtree                                        0.9.4-py38_1 --> 0.9.7-py38h06a4308_1
  ruamel_yaml                        0.15.87-py38h7b6447c_1 --> 0.15.100-py38h27cfd23_0
  scikit-image                        0.17.2-py38hdf5156a_0 --> 0.18.1-py38ha9443f7_0
  scikit-learn                        0.23.2-py38h0573a6f_0 --> 0.24.2-py38ha9443f7_0
  scipy                                1.5.2-py38h0b6359f_0 --> 1.6.2-py38had2a1c9_1
  seaborn                                       0.11.0-py_0 --> 0.11.2-pyhd3eb1b0_0
  secretstorage                                3.1.2-py38_0 --> 3.3.1-py38h06a4308_0
  send2trash         pkgs/main/linux-64::send2trash-1.5.0-~ --> pkgs/main/noarch::send2trash-1.5.0-pyhd3eb1b0_1
  setuptools                          50.3.1-py38h06a4308_1 --> 52.0.0-py38h06a4308_0
  singledispatch                            3.4.0.3-py_1001 --> 3.7.0-pyhd3eb1b0_1001
  six                pkgs/main/linux-64::six-1.15.0-py38h0~ --> pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_0
  snowballstemmer                                2.0.0-py_0 --> 2.1.0-pyhd3eb1b0_0
  sortedcollections                              1.2.1-py_0 --> 2.1.0-pyhd3eb1b0_0
  sortedcontainers                               2.2.2-py_0 --> 2.4.0-pyhd3eb1b0_0
  soupsieve                                      2.0.1-py_0 --> 2.2.1-pyhd3eb1b0_0
  sphinx                                         3.2.1-py_0 --> 4.0.2-pyhd3eb1b0_0
  sphinxcontrib-htm~                             1.0.3-py_0 --> 2.0.0-pyhd3eb1b0_0
  sphinxcontrib-ser~                             1.1.4-py_0 --> 1.1.5-pyhd3eb1b0_0
  spyder                                       4.1.5-py38_0 --> 4.2.5-py38h06a4308_0
  spyder-kernels                               1.9.4-py38_0 --> 1.10.2-py38h06a4308_0
  sqlalchemy                          1.3.20-py38h7b6447c_0 --> 1.4.22-py38h7f8727e_0
  sqlite                                  3.33.0-h62c20be_0 --> 3.36.0-hc218d9a_0
  statsmodels                         0.12.0-py38h7b6447c_0 --> 0.12.2-py38h27cfd23_0
  sympy                                1.6.2-py38h06a4308_1 --> 1.8-py38h06a4308_0
  terminado                                    0.9.1-py38_0 --> 0.9.4-py38h06a4308_0
  testpath                                       0.4.4-py_0 --> 0.5.0-pyhd3eb1b0_0
  threadpoolctl                          2.1.0-pyh5ca1d4c_0 --> 2.2.0-pyhbf3da8f_0
  toml                                          0.10.1-py_0 --> 0.10.2-pyhd3eb1b0_0
  tornado                              6.0.4-py38h7b6447c_1 --> 6.1-py38h27cfd23_0
  tqdm                                          4.50.2-py_0 --> 4.62.1-pyhd3eb1b0_1
  typing_extensions                            3.7.4.3-py_0 --> 3.10.0.0-pyh06a4308_0
  ujson                                4.0.1-py38he6710b0_0 --> 4.0.2-py38h2531618_0
  urllib3                                      1.25.11-py_0 --> 1.26.6-pyhd3eb1b0_1
  watchdog                                    0.10.3-py38_0 --> 1.0.2-py38h06a4308_1
  wheel                                         0.35.1-py_0 --> 0.37.0-pyhd3eb1b0_0
  wrapt                               1.11.2-py38h7b6447c_0 --> 1.12.1-py38h7b6447c_1
  wurlitzer                                    2.0.1-py38_0 --> 2.1.1-py38h06a4308_0
  xlrd                                           1.2.0-py_0 --> 2.0.1-pyhd3eb1b0_0
  xlsxwriter                                     1.3.7-py_0 --> 3.0.1-pyhd3eb1b0_0
  yapf                                          0.30.0-py_0 --> 0.31.0-pyhd3eb1b0_0
  zeromq                                   4.3.3-he6710b0_3 --> 4.3.4-h2531618_0
  zipp                                   3.4.0-pyhd3eb1b0_0 --> 3.5.0-pyhd3eb1b0_0
  zope.interface                       5.1.2-py38h7b6447c_0 --> 5.4.0-py38h7f8727e_0
  zstd                                     1.4.5-h9ceee32_0 --> 1.4.9-haebb681_0

The following packages will be DOWNGRADED:

  alabaster                                     0.7.12-py_0 --> 0.7.12-pyhd3eb1b0_0
  anaconda                                   2020.11-py38_0 --> custom-py38_1
  argon2-cffi                         20.1.0-py38h7b6447c_1 --> 20.1.0-py38h27cfd23_1
  async_generator                                 1.10-py_0 --> 1.10-pyhd3eb1b0_0
  backcall                                       0.2.0-py_0 --> 0.2.0-pyhd3eb1b0_0
  backports                                        1.0-py_2 --> 1.0-pyhd3eb1b0_2
  beautifulsoup4                         4.9.3-pyhb0f4dca_0 --> 4.9.3-pyha847dfd_0
  colorama                                       0.4.4-py_0 --> 0.4.4-pyhd3eb1b0_0
  flask                                          1.1.2-py_0 --> 1.1.2-pyhd3eb1b0_0
  glob2                                            0.7-py_0 --> 0.7-pyhd3eb1b0_0
  imageio                                        2.9.0-py_0 --> 2.9.0-pyhd3eb1b0_0
  imagesize                                      1.2.0-py_0 --> 1.2.0-pyhd3eb1b0_0
  iniconfig                                      1.1.1-py_0 --> 1.1.1-pyhd3eb1b0_0
  libspatialindex                          1.9.3-he6710b0_0 --> 1.9.3-h2531618_0
  pluggy                                      0.13.1-py38_0 --> 0.13.1-py38h06a4308_0
  pycodestyle                                    2.6.0-py_0 --> 2.6.0-pyhd3eb1b0_0
  pyflakes                                       2.2.0-py_0 --> 2.2.0-pyhd3eb1b0_0
  pyparsing                                      2.4.7-py_0 --> 2.4.7-pyhd3eb1b0_0
  pysocks                                      1.7.1-py38_0 --> 1.7.1-py38h06a4308_0
  sphinxcontrib-app~                             1.0.2-py_0 --> 1.0.2-pyhd3eb1b0_0
  sphinxcontrib-dev~                             1.0.2-py_0 --> 1.0.2-pyhd3eb1b0_0
  sphinxcontrib-jsm~                             1.0.1-py_0 --> 1.0.1-pyhd3eb1b0_0
  sphinxcontrib-qth~                             1.0.3-py_0 --> 1.0.3-pyhd3eb1b0_0
  toolz                                         0.11.1-py_0 --> 0.11.1-pyhd3eb1b0_0
  traitlets                                      5.0.5-py_0 --> 5.0.5-pyhd3eb1b0_0
  werkzeug                                       1.0.1-py_0 --> 1.0.1-pyhd3eb1b0_0
  zict                                           2.0.0-py_0 --> 2.0.0-pyhd3eb1b0_0


Proceed ([y]/n)? y


Downloading and Extracting Packages
anyio-2.2.0          | 125 KB    | ##################################### | 100% 
rtree-0.9.7          | 48 KB     | ##################################### | 100% 
libev-4.33           | 112 KB    | ##################################### | 100% 
libgomp-9.3.0        | 311 KB    | ##################################### | 100% 
iniconfig-1.1.1      | 8 KB      | ##################################### | 100% 
typing_extensions-3. | 27 KB     | ##################################### | 100% 
pathspec-0.7.0       | 26 KB     | ##################################### | 100% 
sphinxcontrib-devhel | 23 KB     | ##################################### | 100% 
soupsieve-2.2.1      | 32 KB     | ##################################### | 100% 
setuptools-52.0.0    | 714 KB    | ##################################### | 100% 
readline-8.1         | 362 KB    | ##################################### | 100% 
astropy-4.3.1        | 6.4 MB    | ##################################### | 100% 
jedi-0.17.2          | 924 KB    | ##################################### | 100% 
argon2-cffi-20.1.0   | 46 KB     | ##################################### | 100% 
brotli-1.0.9         | 375 KB    | ##################################### | 100% 
openpyxl-3.0.7       | 159 KB    | ##################################### | 100% 
python-language-serv | 41 KB     | ##################################### | 100% 
zstd-1.4.9           | 480 KB    | ##################################### | 100% 
pathlib2-2.3.6       | 36 KB     | ##################################### | 100% 
numba-0.53.1         | 3.3 MB    | ##################################### | 100% 
secretstorage-3.3.1  | 24 KB     | ##################################### | 100% 
sphinxcontrib-htmlhe | 32 KB     | ##################################### | 100% 
libgfortran-ng-7.5.0 | 22 KB     | ##################################### | 100% 
wurlitzer-2.1.1      | 13 KB     | ##################################### | 100% 
_openmp_mutex-4.5    | 22 KB     | ##################################### | 100% 
docutils-0.17.1      | 686 KB    | ##################################### | 100% 
pytz-2021.1          | 181 KB    | ##################################### | 100% 
pcre-8.45            | 207 KB    | ##################################### | 100% 
tornado-6.1          | 588 KB    | ##################################### | 100% 
networkx-2.6.2       | 1.3 MB    | ##################################### | 100% 
isort-5.9.3          | 83 KB     | ##################################### | 100% 
regex-2021.8.3       | 319 KB    | ##################################### | 100% 
six-1.16.0           | 18 KB     | ##################################### | 100% 
pyopenssl-20.0.1     | 49 KB     | ##################################### | 100% 
idna-3.2             | 48 KB     | ##################################### | 100% 
libspatialindex-1.9. | 2.1 MB    | ##################################### | 100% 
ujson-4.0.2          | 45 KB     | ##################################### | 100% 
pluggy-0.13.1        | 33 KB     | ##################################### | 100% 
yapf-0.31.0          | 126 KB    | ##################################### | 100% 
prompt-toolkit-3.0.1 | 256 KB    | ##################################### | 100% 
scikit-learn-0.24.2  | 5.4 MB    | ##################################### | 100% 
python-libarchive-c- | 47 KB     | ##################################### | 100% 
appdirs-1.4.4        | 13 KB     | ##################################### | 100% 
werkzeug-1.0.1       | 239 KB    | ##################################### | 100% 
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Preparing transaction: done
Verifying transaction: done
Executing transaction: | 

    Installed package of scikit-learn can be accelerated using scikit-learn-intelex.
    More details are available here: https://intel.github.io/scikit-learn-intelex

    For example:

        $ conda install scikit-learn-intelex
        $ python -m sklearnex my_application.py

    

done
(base) [email protected]:~/Descargas$ conda create --name my_env
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3/envs/my_env



Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate my_env
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) [email protected]:~/Descargas$ conda activate my_env
(my_env) [email protected]:~/Descargas$ ls
Anaconda3-2020.11-Linux-x86_64.sh  Anaconda3-2021.05-Linux-x86_64.sh
(my_env) [email protected]:~/Descargas$ sudo conda activate my_env
[sudo] contraseña para soloelectronicos: 
sudo: conda: orden no encontrada
(my_env) [email protected]:~/Descargas$ conda activate my_env
[email protected]:~/Descargas$ wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
--2021-09-06 10:21:36--  https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
Resolviendo repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8303, ...
Conectando con repo.anaconda.com (repo.anaconda.com)[104.16.130.3]:443... conectado.
Petición HTTP enviada, esperando respuesta... 200 OK
Longitud: 554535580 (529M) [application/x-sh]
Guardando como: “Anaconda3-2020.11-Linux-x86_64.sh”

Anaconda3-2020.11-L 100%[===================>] 528,85M  3,04MB/s    en 2m 56s  

2021-09-06 10:24:32 (3,00 MB/s) - “Anaconda3-2020.11-Linux-x86_64.sh” guardado [554535580/554535580]

[email protected]:~/Descargas$ sha256sum Anaconda3-2020.11-Linux-x86_64.sh
cf2ff493f11eaad5d09ce2b4feaa5ea90db5174303d5b3fe030e16d29aeef7de  Anaconda3-2020.11-Linux-x86_64.sh
[email protected]:~/Descargas$ bash Anaconda3-2020.11-Linux-x86_64.sh

Welcome to Anaconda3 2020.11

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>> 
===================================
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-------------------------

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--------------

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===========================

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gth general purpose cryptography library.

pycrypto
    A collection of both secure hash functions (such as SHA256 and RIPEMD160), a
nd various encryption algorithms (AES, DES, RSA, ElGamal, etc.).

pyopenssl
    A thin Python wrapper around (a subset of) the OpenSSL library.

kerberos (krb5, non-Windows platforms)
    A network authentication protocol designed to provide strong authentication 
for client/server applications by using secret-key cryptography.

cryptography
    A Python library which exposes cryptographic recipes and primitives.

pycryptodome
    A fork of PyCrypto. It is a self-contained Python package of low-level crypt
ographic primitives.

pycryptodomex
    A stand-alone version of pycryptodome.

libsodium
    A software library for encryption, decryption, signatures, password hashing 
and more.

pynacl
    A Python binding to the Networking and Cryptography library, a crypto librar
y with the stated goal of improving usability, security and speed.


Last updated September 28, 2020


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[no] >>> 
Please answer 'yes' or 'no':'
>>> 
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>>> 
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>>> 
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>>> 
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>>> 
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Anaconda3 will now be installed into this location:
/home/soloelectronicos/anaconda3

  - Press ENTER to confirm the location
  - Press CTRL-C to abort the installation
  - Or specify a different location below

[/home/soloelectronicos/anaconda3] >>> 
PREFIX=/home/soloelectronicos/anaconda3
Unpacking payload ...
Collecting package metadata (current_repodata.json): done                       
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - _ipyw_jlab_nb_ext_conf==0.1.0=py38_0
    - _libgcc_mutex==0.1=main
    - alabaster==0.7.12=py_0
    - anaconda-client==1.7.2=py38_0
    - anaconda-navigator==1.10.0=py38_0
    - anaconda-project==0.8.4=py_0
    - anaconda==2020.11=py38_0
    - argh==0.26.2=py38_0
    - argon2-cffi==20.1.0=py38h7b6447c_1
    - asn1crypto==1.4.0=py_0
    - astroid==2.4.2=py38_0
    - astropy==4.0.2=py38h7b6447c_0
    - async_generator==1.10=py_0
    - atomicwrites==1.4.0=py_0
    - attrs==20.3.0=pyhd3eb1b0_0
    - autopep8==1.5.4=py_0
    - babel==2.8.1=pyhd3eb1b0_0
    - backcall==0.2.0=py_0
    - backports.functools_lru_cache==1.6.1=py_0
    - backports.shutil_get_terminal_size==1.0.0=py38_2
    - backports.tempfile==1.0=py_1
    - backports.weakref==1.0.post1=py_1
    - backports==1.0=py_2
    - beautifulsoup4==4.9.3=pyhb0f4dca_0
    - bitarray==1.6.1=py38h27cfd23_0
    - bkcharts==0.2=py38_0
    - blas==1.0=mkl
    - bleach==3.2.1=py_0
    - blosc==1.20.1=hd408876_0
    - bokeh==2.2.3=py38_0
    - boto==2.49.0=py38_0
    - bottleneck==1.3.2=py38heb32a55_1
    - brotlipy==0.7.0=py38h7b6447c_1000
    - bzip2==1.0.8=h7b6447c_0
    - ca-certificates==2020.10.14=0
    - cairo==1.14.12=h8948797_3
    - certifi==2020.6.20=pyhd3eb1b0_3
    - cffi==1.14.3=py38he30daa8_0
    - chardet==3.0.4=py38_1003
    - click==7.1.2=py_0
    - cloudpickle==1.6.0=py_0
    - clyent==1.2.2=py38_1
    - colorama==0.4.4=py_0
    - conda-build==3.20.5=py38_1
    - conda-env==2.6.0=1
    - conda-package-handling==1.7.2=py38h03888b9_0
    - conda-verify==3.4.2=py_1
    - conda==4.9.2=py38h06a4308_0
    - contextlib2==0.6.0.post1=py_0
    - cryptography==3.1.1=py38h1ba5d50_0
    - curl==7.71.1=hbc83047_1
    - cycler==0.10.0=py38_0
    - cython==0.29.21=py38he6710b0_0
    - cytoolz==0.11.0=py38h7b6447c_0
    - dask-core==2.30.0=py_0
    - dask==2.30.0=py_0
    - dbus==1.13.18=hb2f20db_0
    - decorator==4.4.2=py_0
    - defusedxml==0.6.0=py_0
    - diff-match-patch==20200713=py_0
    - distributed==2.30.1=py38h06a4308_0
    - docutils==0.16=py38_1
    - entrypoints==0.3=py38_0
    - et_xmlfile==1.0.1=py_1001
    - expat==2.2.10=he6710b0_2
    - fastcache==1.1.0=py38h7b6447c_0
    - filelock==3.0.12=py_0
    - flake8==3.8.4=py_0
    - flask==1.1.2=py_0
    - fontconfig==2.13.0=h9420a91_0
    - freetype==2.10.4=h5ab3b9f_0
    - fribidi==1.0.10=h7b6447c_0
    - fsspec==0.8.3=py_0
    - future==0.18.2=py38_1
    - get_terminal_size==1.0.0=haa9412d_0
    - gevent==20.9.0=py38h7b6447c_0
    - glib==2.66.1=h92f7085_0
    - glob2==0.7=py_0
    - gmp==6.1.2=h6c8ec71_1
    - gmpy2==2.0.8=py38hd5f6e3b_3
    - graphite2==1.3.14=h23475e2_0
    - greenlet==0.4.17=py38h7b6447c_0
    - gst-plugins-base==1.14.0=hbbd80ab_1
    - gstreamer==1.14.0=hb31296c_0
    - h5py==2.10.0=py38h7918eee_0
    - harfbuzz==2.4.0=hca77d97_1
    - hdf5==1.10.4=hb1b8bf9_0
    - heapdict==1.0.1=py_0
    - html5lib==1.1=py_0
    - icu==58.2=he6710b0_3
    - idna==2.10=py_0
    - imageio==2.9.0=py_0
    - imagesize==1.2.0=py_0
    - importlib-metadata==2.0.0=py_1
    - importlib_metadata==2.0.0=1
    - iniconfig==1.1.1=py_0
    - intel-openmp==2020.2=254
    - intervaltree==3.1.0=py_0
    - ipykernel==5.3.4=py38h5ca1d4c_0
    - ipython==7.19.0=py38hb070fc8_0
    - ipython_genutils==0.2.0=py38_0
    - ipywidgets==7.5.1=py_1
    - isort==5.6.4=py_0
    - itsdangerous==1.1.0=py_0
    - jbig==2.1=hdba287a_0
    - jdcal==1.4.1=py_0
    - jedi==0.17.1=py38_0
    - jeepney==0.5.0=pyhd3eb1b0_0
    - jinja2==2.11.2=py_0
    - joblib==0.17.0=py_0
    - jpeg==9b=h024ee3a_2
    - json5==0.9.5=py_0
    - jsonschema==3.2.0=py_2
    - jupyter==1.0.0=py38_7
    - jupyter_client==6.1.7=py_0
    - jupyter_console==6.2.0=py_0
    - jupyter_core==4.6.3=py38_0
    - jupyterlab==2.2.6=py_0
    - jupyterlab_pygments==0.1.2=py_0
    - jupyterlab_server==1.2.0=py_0
    - keyring==21.4.0=py38_1
    - kiwisolver==1.3.0=py38h2531618_0
    - krb5==1.18.2=h173b8e3_0
    - lazy-object-proxy==1.4.3=py38h7b6447c_0
    - lcms2==2.11=h396b838_0
    - ld_impl_linux-64==2.33.1=h53a641e_7
    - libarchive==3.4.2=h62408e4_0
    - libcurl==7.71.1=h20c2e04_1
    - libedit==3.1.20191231=h14c3975_1
    - libffi==3.3=he6710b0_2
    - libgcc-ng==9.1.0=hdf63c60_0
    - libgfortran-ng==7.3.0=hdf63c60_0
    - liblief==0.10.1=he6710b0_0
    - libllvm10==10.0.1=hbcb73fb_5
    - libpng==1.6.37=hbc83047_0
    - libsodium==1.0.18=h7b6447c_0
    - libspatialindex==1.9.3=he6710b0_0
    - libssh2==1.9.0=h1ba5d50_1
    - libstdcxx-ng==9.1.0=hdf63c60_0
    - libtiff==4.1.0=h2733197_1
    - libtool==2.4.6=h7b6447c_1005
    - libuuid==1.0.3=h1bed415_2
    - libxcb==1.14=h7b6447c_0
    - libxml2==2.9.10=hb55368b_3
    - libxslt==1.1.34=hc22bd24_0
    - llvmlite==0.34.0=py38h269e1b5_4
    - locket==0.2.0=py38_1
    - lxml==4.6.1=py38hefd8a0e_0
    - lz4-c==1.9.2=heb0550a_3
    - lzo==2.10=h7b6447c_2
    - markupsafe==1.1.1=py38h7b6447c_0
    - matplotlib-base==3.3.2=py38h817c723_0
    - matplotlib==3.3.2=0
    - mccabe==0.6.1=py38_1
    - mistune==0.8.4=py38h7b6447c_1000
    - mkl-service==2.3.0=py38he904b0f_0
    - mkl==2020.2=256
    - mkl_fft==1.2.0=py38h23d657b_0
    - mkl_random==1.1.1=py38h0573a6f_0
    - mock==4.0.2=py_0
    - more-itertools==8.6.0=pyhd3eb1b0_0
    - mpc==1.1.0=h10f8cd9_1
    - mpfr==4.0.2=hb69a4c5_1
    - mpmath==1.1.0=py38_0
    - msgpack-python==1.0.0=py38hfd86e86_1
    - multipledispatch==0.6.0=py38_0
    - navigator-updater==0.2.1=py38_0
    - nbclient==0.5.1=py_0
    - nbconvert==6.0.7=py38_0
    - nbformat==5.0.8=py_0
    - ncurses==6.2=he6710b0_1
    - nest-asyncio==1.4.2=pyhd3eb1b0_0
    - networkx==2.5=py_0
    - nltk==3.5=py_0
    - nose==1.3.7=py38_2
    - notebook==6.1.4=py38_0
    - numba==0.51.2=py38h0573a6f_1
    - numexpr==2.7.1=py38h423224d_0
    - numpy-base==1.19.2=py38hfa32c7d_0
    - numpy==1.19.2=py38h54aff64_0
    - numpydoc==1.1.0=pyhd3eb1b0_1
    - olefile==0.46=py_0
    - openpyxl==3.0.5=py_0
    - openssl==1.1.1h=h7b6447c_0
    - packaging==20.4=py_0
    - pandas==1.1.3=py38he6710b0_0
    - pandoc==2.11=hb0f4dca_0
    - pandocfilters==1.4.3=py38h06a4308_1
    - pango==1.45.3=hd140c19_0
    - parso==0.7.0=py_0
    - partd==1.1.0=py_0
    - patchelf==0.12=he6710b0_0
    - path.py==12.5.0=0
    - path==15.0.0=py38_0
    - pathlib2==2.3.5=py38_0
    - pathtools==0.1.2=py_1
    - patsy==0.5.1=py38_0
    - pcre==8.44=he6710b0_0
    - pep8==1.7.1=py38_0
    - pexpect==4.8.0=py38_0
    - pickleshare==0.7.5=py38_1000
    - pillow==8.0.1=py38he98fc37_0
    - pip==20.2.4=py38h06a4308_0
    - pixman==0.40.0=h7b6447c_0
    - pkginfo==1.6.1=py38h06a4308_0
    - pluggy==0.13.1=py38_0
    - ply==3.11=py38_0
    - prometheus_client==0.8.0=py_0
    - prompt-toolkit==3.0.8=py_0
    - prompt_toolkit==3.0.8=0
    - psutil==5.7.2=py38h7b6447c_0
    - ptyprocess==0.6.0=py38_0
    - py-lief==0.10.1=py38h403a769_0
    - py==1.9.0=py_0
    - pycodestyle==2.6.0=py_0
    - pycosat==0.6.3=py38h7b6447c_1
    - pycparser==2.20=py_2
    - pycurl==7.43.0.6=py38h1ba5d50_0
    - pydocstyle==5.1.1=py_0
    - pyflakes==2.2.0=py_0
    - pygments==2.7.2=pyhd3eb1b0_0
    - pylint==2.6.0=py38_0
    - pyodbc==4.0.30=py38he6710b0_0
    - pyopenssl==19.1.0=py_1
    - pyparsing==2.4.7=py_0
    - pyqt==5.9.2=py38h05f1152_4
    - pyrsistent==0.17.3=py38h7b6447c_0
    - pysocks==1.7.1=py38_0
    - pytables==3.6.1=py38h9fd0a39_0
    - pytest==6.1.1=py38_0
    - python-dateutil==2.8.1=py_0
    - python-jsonrpc-server==0.4.0=py_0
    - python-language-server==0.35.1=py_0
    - python-libarchive-c==2.9=py_0
    - python==3.8.5=h7579374_1
    - pytz==2020.1=py_0
    - pywavelets==1.1.1=py38h7b6447c_2
    - pyxdg==0.27=pyhd3eb1b0_0
    - pyyaml==5.3.1=py38h7b6447c_1
    - pyzmq==19.0.2=py38he6710b0_1
    - qdarkstyle==2.8.1=py_0
    - qt==5.9.7=h5867ecd_1
    - qtawesome==1.0.1=py_0
    - qtconsole==4.7.7=py_0
    - qtpy==1.9.0=py_0
    - readline==8.0=h7b6447c_0
    - regex==2020.10.15=py38h7b6447c_0
    - requests==2.24.0=py_0
    - ripgrep==12.1.1=0
    - rope==0.18.0=py_0
    - rtree==0.9.4=py38_1
    - ruamel_yaml==0.15.87=py38h7b6447c_1
    - scikit-image==0.17.2=py38hdf5156a_0
    - scikit-learn==0.23.2=py38h0573a6f_0
    - scipy==1.5.2=py38h0b6359f_0
    - seaborn==0.11.0=py_0
    - secretstorage==3.1.2=py38_0
    - send2trash==1.5.0=py38_0
    - setuptools==50.3.1=py38h06a4308_1
    - simplegeneric==0.8.1=py38_2
    - singledispatch==3.4.0.3=py_1001
    - sip==4.19.13=py38he6710b0_0
    - six==1.15.0=py38h06a4308_0
    - snowballstemmer==2.0.0=py_0
    - sortedcollections==1.2.1=py_0
    - sortedcontainers==2.2.2=py_0
    - soupsieve==2.0.1=py_0
    - sphinx==3.2.1=py_0
    - sphinxcontrib-applehelp==1.0.2=py_0
    - sphinxcontrib-devhelp==1.0.2=py_0
    - sphinxcontrib-htmlhelp==1.0.3=py_0
    - sphinxcontrib-jsmath==1.0.1=py_0
    - sphinxcontrib-qthelp==1.0.3=py_0
    - sphinxcontrib-serializinghtml==1.1.4=py_0
    - sphinxcontrib-websupport==1.2.4=py_0
    - sphinxcontrib==1.0=py38_1
    - spyder-kernels==1.9.4=py38_0
    - spyder==4.1.5=py38_0
    - sqlalchemy==1.3.20=py38h7b6447c_0
    - sqlite==3.33.0=h62c20be_0
    - statsmodels==0.12.0=py38h7b6447c_0
    - sympy==1.6.2=py38h06a4308_1
    - tbb==2020.3=hfd86e86_0
    - tblib==1.7.0=py_0
    - terminado==0.9.1=py38_0
    - testpath==0.4.4=py_0
    - threadpoolctl==2.1.0=pyh5ca1d4c_0
    - tifffile==2020.10.1=py38hdd07704_2
    - tk==8.6.10=hbc83047_0
    - toml==0.10.1=py_0
    - toolz==0.11.1=py_0
    - tornado==6.0.4=py38h7b6447c_1
    - tqdm==4.50.2=py_0
    - traitlets==5.0.5=py_0
    - typing_extensions==3.7.4.3=py_0
    - ujson==4.0.1=py38he6710b0_0
    - unicodecsv==0.14.1=py38_0
    - unixodbc==2.3.9=h7b6447c_0
    - urllib3==1.25.11=py_0
    - watchdog==0.10.3=py38_0
    - wcwidth==0.2.5=py_0
    - webencodings==0.5.1=py38_1
    - werkzeug==1.0.1=py_0
    - wheel==0.35.1=py_0
    - widgetsnbextension==3.5.1=py38_0
    - wrapt==1.11.2=py38h7b6447c_0
    - wurlitzer==2.0.1=py38_0
    - xlrd==1.2.0=py_0
    - xlsxwriter==1.3.7=py_0
    - xlwt==1.3.0=py38_0
    - xmltodict==0.12.0=py_0
    - xz==5.2.5=h7b6447c_0
    - yaml==0.2.5=h7b6447c_0
    - yapf==0.30.0=py_0
    - zeromq==4.3.3=he6710b0_3
    - zict==2.0.0=py_0
    - zipp==3.4.0=pyhd3eb1b0_0
    - zlib==1.2.11=h7b6447c_3
    - zope.event==4.5.0=py38_0
    - zope.interface==5.1.2=py38h7b6447c_0
    - zope==1.0=py38_1
    - zstd==1.4.5=h9ceee32_0


The following NEW packages will be INSTALLED:

  _ipyw_jlab_nb_ext~ pkgs/main/linux-64::_ipyw_jlab_nb_ext_conf-0.1.0-py38_0
  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  alabaster          pkgs/main/noarch::alabaster-0.7.12-py_0
  anaconda           pkgs/main/linux-64::anaconda-2020.11-py38_0
  anaconda-client    pkgs/main/linux-64::anaconda-client-1.7.2-py38_0
  anaconda-navigator pkgs/main/linux-64::anaconda-navigator-1.10.0-py38_0
  anaconda-project   pkgs/main/noarch::anaconda-project-0.8.4-py_0
  argh               pkgs/main/linux-64::argh-0.26.2-py38_0
  argon2-cffi        pkgs/main/linux-64::argon2-cffi-20.1.0-py38h7b6447c_1
  asn1crypto         pkgs/main/noarch::asn1crypto-1.4.0-py_0
  astroid            pkgs/main/linux-64::astroid-2.4.2-py38_0
  astropy            pkgs/main/linux-64::astropy-4.0.2-py38h7b6447c_0
  async_generator    pkgs/main/noarch::async_generator-1.10-py_0
  atomicwrites       pkgs/main/noarch::atomicwrites-1.4.0-py_0
  attrs              pkgs/main/noarch::attrs-20.3.0-pyhd3eb1b0_0
  autopep8           pkgs/main/noarch::autopep8-1.5.4-py_0
  babel              pkgs/main/noarch::babel-2.8.1-pyhd3eb1b0_0
  backcall           pkgs/main/noarch::backcall-0.2.0-py_0
  backports          pkgs/main/noarch::backports-1.0-py_2
  backports.functoo~ pkgs/main/noarch::backports.functools_lru_cache-1.6.1-py_0
  backports.shutil_~ pkgs/main/linux-64::backports.shutil_get_terminal_size-1.0.0-py38_2
  backports.tempfile pkgs/main/noarch::backports.tempfile-1.0-py_1
  backports.weakref  pkgs/main/noarch::backports.weakref-1.0.post1-py_1
  beautifulsoup4     pkgs/main/noarch::beautifulsoup4-4.9.3-pyhb0f4dca_0
  bitarray           pkgs/main/linux-64::bitarray-1.6.1-py38h27cfd23_0
  bkcharts           pkgs/main/linux-64::bkcharts-0.2-py38_0
  blas               pkgs/main/linux-64::blas-1.0-mkl
  bleach             pkgs/main/noarch::bleach-3.2.1-py_0
  blosc              pkgs/main/linux-64::blosc-1.20.1-hd408876_0
  bokeh              pkgs/main/linux-64::bokeh-2.2.3-py38_0
  boto               pkgs/main/linux-64::boto-2.49.0-py38_0
  bottleneck         pkgs/main/linux-64::bottleneck-1.3.2-py38heb32a55_1
  brotlipy           pkgs/main/linux-64::brotlipy-0.7.0-py38h7b6447c_1000
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0
  ca-certificates    pkgs/main/linux-64::ca-certificates-2020.10.14-0
  cairo              pkgs/main/linux-64::cairo-1.14.12-h8948797_3
  certifi            pkgs/main/noarch::certifi-2020.6.20-pyhd3eb1b0_3
  cffi               pkgs/main/linux-64::cffi-1.14.3-py38he30daa8_0
  chardet            pkgs/main/linux-64::chardet-3.0.4-py38_1003
  click              pkgs/main/noarch::click-7.1.2-py_0
  cloudpickle        pkgs/main/noarch::cloudpickle-1.6.0-py_0
  clyent             pkgs/main/linux-64::clyent-1.2.2-py38_1
  colorama           pkgs/main/noarch::colorama-0.4.4-py_0
  conda              pkgs/main/linux-64::conda-4.9.2-py38h06a4308_0
  conda-build        pkgs/main/linux-64::conda-build-3.20.5-py38_1
  conda-env          pkgs/main/linux-64::conda-env-2.6.0-1
  conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.7.2-py38h03888b9_0
  conda-verify       pkgs/main/noarch::conda-verify-3.4.2-py_1
  contextlib2        pkgs/main/noarch::contextlib2-0.6.0.post1-py_0
  cryptography       pkgs/main/linux-64::cryptography-3.1.1-py38h1ba5d50_0
  curl               pkgs/main/linux-64::curl-7.71.1-hbc83047_1
  cycler             pkgs/main/linux-64::cycler-0.10.0-py38_0
  cython             pkgs/main/linux-64::cython-0.29.21-py38he6710b0_0
  cytoolz            pkgs/main/linux-64::cytoolz-0.11.0-py38h7b6447c_0
  dask               pkgs/main/noarch::dask-2.30.0-py_0
  dask-core          pkgs/main/noarch::dask-core-2.30.0-py_0
  dbus               pkgs/main/linux-64::dbus-1.13.18-hb2f20db_0
  decorator          pkgs/main/noarch::decorator-4.4.2-py_0
  defusedxml         pkgs/main/noarch::defusedxml-0.6.0-py_0
  diff-match-patch   pkgs/main/noarch::diff-match-patch-20200713-py_0
  distributed        pkgs/main/linux-64::distributed-2.30.1-py38h06a4308_0
  docutils           pkgs/main/linux-64::docutils-0.16-py38_1
  entrypoints        pkgs/main/linux-64::entrypoints-0.3-py38_0
  et_xmlfile         pkgs/main/noarch::et_xmlfile-1.0.1-py_1001
  expat              pkgs/main/linux-64::expat-2.2.10-he6710b0_2
  fastcache          pkgs/main/linux-64::fastcache-1.1.0-py38h7b6447c_0
  filelock           pkgs/main/noarch::filelock-3.0.12-py_0
  flake8             pkgs/main/noarch::flake8-3.8.4-py_0
  flask              pkgs/main/noarch::flask-1.1.2-py_0
  fontconfig         pkgs/main/linux-64::fontconfig-2.13.0-h9420a91_0
  freetype           pkgs/main/linux-64::freetype-2.10.4-h5ab3b9f_0
  fribidi            pkgs/main/linux-64::fribidi-1.0.10-h7b6447c_0
  fsspec             pkgs/main/noarch::fsspec-0.8.3-py_0
  future             pkgs/main/linux-64::future-0.18.2-py38_1
  get_terminal_size  pkgs/main/linux-64::get_terminal_size-1.0.0-haa9412d_0
  gevent             pkgs/main/linux-64::gevent-20.9.0-py38h7b6447c_0
  glib               pkgs/main/linux-64::glib-2.66.1-h92f7085_0
  glob2              pkgs/main/noarch::glob2-0.7-py_0
  gmp                pkgs/main/linux-64::gmp-6.1.2-h6c8ec71_1
  gmpy2              pkgs/main/linux-64::gmpy2-2.0.8-py38hd5f6e3b_3
  graphite2          pkgs/main/linux-64::graphite2-1.3.14-h23475e2_0
  greenlet           pkgs/main/linux-64::greenlet-0.4.17-py38h7b6447c_0
  gst-plugins-base   pkgs/main/linux-64::gst-plugins-base-1.14.0-hbbd80ab_1
  gstreamer          pkgs/main/linux-64::gstreamer-1.14.0-hb31296c_0
  h5py               pkgs/main/linux-64::h5py-2.10.0-py38h7918eee_0
  harfbuzz           pkgs/main/linux-64::harfbuzz-2.4.0-hca77d97_1
  hdf5               pkgs/main/linux-64::hdf5-1.10.4-hb1b8bf9_0
  heapdict           pkgs/main/noarch::heapdict-1.0.1-py_0
  html5lib           pkgs/main/noarch::html5lib-1.1-py_0
  icu                pkgs/main/linux-64::icu-58.2-he6710b0_3
  idna               pkgs/main/noarch::idna-2.10-py_0
  imageio            pkgs/main/noarch::imageio-2.9.0-py_0
  imagesize          pkgs/main/noarch::imagesize-1.2.0-py_0
  importlib-metadata pkgs/main/noarch::importlib-metadata-2.0.0-py_1
  importlib_metadata pkgs/main/noarch::importlib_metadata-2.0.0-1
  iniconfig          pkgs/main/noarch::iniconfig-1.1.1-py_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2020.2-254
  intervaltree       pkgs/main/noarch::intervaltree-3.1.0-py_0
  ipykernel          pkgs/main/linux-64::ipykernel-5.3.4-py38h5ca1d4c_0
  ipython            pkgs/main/linux-64::ipython-7.19.0-py38hb070fc8_0
  ipython_genutils   pkgs/main/linux-64::ipython_genutils-0.2.0-py38_0
  ipywidgets         pkgs/main/noarch::ipywidgets-7.5.1-py_1
  isort              pkgs/main/noarch::isort-5.6.4-py_0
  itsdangerous       pkgs/main/noarch::itsdangerous-1.1.0-py_0
  jbig               pkgs/main/linux-64::jbig-2.1-hdba287a_0
  jdcal              pkgs/main/noarch::jdcal-1.4.1-py_0
  jedi               pkgs/main/linux-64::jedi-0.17.1-py38_0
  jeepney            pkgs/main/noarch::jeepney-0.5.0-pyhd3eb1b0_0
  jinja2             pkgs/main/noarch::jinja2-2.11.2-py_0
  joblib             pkgs/main/noarch::joblib-0.17.0-py_0
  jpeg               pkgs/main/linux-64::jpeg-9b-h024ee3a_2
  json5              pkgs/main/noarch::json5-0.9.5-py_0
  jsonschema         pkgs/main/noarch::jsonschema-3.2.0-py_2
  jupyter            pkgs/main/linux-64::jupyter-1.0.0-py38_7
  jupyter_client     pkgs/main/noarch::jupyter_client-6.1.7-py_0
  jupyter_console    pkgs/main/noarch::jupyter_console-6.2.0-py_0
  jupyter_core       pkgs/main/linux-64::jupyter_core-4.6.3-py38_0
  jupyterlab         pkgs/main/noarch::jupyterlab-2.2.6-py_0
  jupyterlab_pygmen~ pkgs/main/noarch::jupyterlab_pygments-0.1.2-py_0
  jupyterlab_server  pkgs/main/noarch::jupyterlab_server-1.2.0-py_0
  keyring            pkgs/main/linux-64::keyring-21.4.0-py38_1
  kiwisolver         pkgs/main/linux-64::kiwisolver-1.3.0-py38h2531618_0
  krb5               pkgs/main/linux-64::krb5-1.18.2-h173b8e3_0
  lazy-object-proxy  pkgs/main/linux-64::lazy-object-proxy-1.4.3-py38h7b6447c_0
  lcms2              pkgs/main/linux-64::lcms2-2.11-h396b838_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
  libarchive         pkgs/main/linux-64::libarchive-3.4.2-h62408e4_0
  libcurl            pkgs/main/linux-64::libcurl-7.71.1-h20c2e04_1
  libedit            pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1
  libffi             pkgs/main/linux-64::libffi-3.3-he6710b0_2
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
  liblief            pkgs/main/linux-64::liblief-0.10.1-he6710b0_0
  libllvm10          pkgs/main/linux-64::libllvm10-10.0.1-hbcb73fb_5
  libpng             pkgs/main/linux-64::libpng-1.6.37-hbc83047_0
  libsodium          pkgs/main/linux-64::libsodium-1.0.18-h7b6447c_0
  libspatialindex    pkgs/main/linux-64::libspatialindex-1.9.3-he6710b0_0
  libssh2            pkgs/main/linux-64::libssh2-1.9.0-h1ba5d50_1
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  libtiff            pkgs/main/linux-64::libtiff-4.1.0-h2733197_1
  libtool            pkgs/main/linux-64::libtool-2.4.6-h7b6447c_1005
  libuuid            pkgs/main/linux-64::libuuid-1.0.3-h1bed415_2
  libxcb             pkgs/main/linux-64::libxcb-1.14-h7b6447c_0
  libxml2            pkgs/main/linux-64::libxml2-2.9.10-hb55368b_3
  libxslt            pkgs/main/linux-64::libxslt-1.1.34-hc22bd24_0
  llvmlite           pkgs/main/linux-64::llvmlite-0.34.0-py38h269e1b5_4
  locket             pkgs/main/linux-64::locket-0.2.0-py38_1
  lxml               pkgs/main/linux-64::lxml-4.6.1-py38hefd8a0e_0
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.2-heb0550a_3
  lzo                pkgs/main/linux-64::lzo-2.10-h7b6447c_2
  markupsafe         pkgs/main/linux-64::markupsafe-1.1.1-py38h7b6447c_0
  matplotlib         pkgs/main/linux-64::matplotlib-3.3.2-0
  matplotlib-base    pkgs/main/linux-64::matplotlib-base-3.3.2-py38h817c723_0
  mccabe             pkgs/main/linux-64::mccabe-0.6.1-py38_1
  mistune            pkgs/main/linux-64::mistune-0.8.4-py38h7b6447c_1000
  mkl                pkgs/main/linux-64::mkl-2020.2-256
  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py38he904b0f_0
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.2.0-py38h23d657b_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.1.1-py38h0573a6f_0
  mock               pkgs/main/noarch::mock-4.0.2-py_0
  more-itertools     pkgs/main/noarch::more-itertools-8.6.0-pyhd3eb1b0_0
  mpc                pkgs/main/linux-64::mpc-1.1.0-h10f8cd9_1
  mpfr               pkgs/main/linux-64::mpfr-4.0.2-hb69a4c5_1
  mpmath             pkgs/main/linux-64::mpmath-1.1.0-py38_0
  msgpack-python     pkgs/main/linux-64::msgpack-python-1.0.0-py38hfd86e86_1
  multipledispatch   pkgs/main/linux-64::multipledispatch-0.6.0-py38_0
  navigator-updater  pkgs/main/linux-64::navigator-updater-0.2.1-py38_0
  nbclient           pkgs/main/noarch::nbclient-0.5.1-py_0
  nbconvert          pkgs/main/linux-64::nbconvert-6.0.7-py38_0
  nbformat           pkgs/main/noarch::nbformat-5.0.8-py_0
  ncurses            pkgs/main/linux-64::ncurses-6.2-he6710b0_1
  nest-asyncio       pkgs/main/noarch::nest-asyncio-1.4.2-pyhd3eb1b0_0
  networkx           pkgs/main/noarch::networkx-2.5-py_0
  nltk               pkgs/main/noarch::nltk-3.5-py_0
  nose               pkgs/main/linux-64::nose-1.3.7-py38_2
  notebook           pkgs/main/linux-64::notebook-6.1.4-py38_0
  numba              pkgs/main/linux-64::numba-0.51.2-py38h0573a6f_1
  numexpr            pkgs/main/linux-64::numexpr-2.7.1-py38h423224d_0
  numpy              pkgs/main/linux-64::numpy-1.19.2-py38h54aff64_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.19.2-py38hfa32c7d_0
  numpydoc           pkgs/main/noarch::numpydoc-1.1.0-pyhd3eb1b0_1
  olefile            pkgs/main/noarch::olefile-0.46-py_0
  openpyxl           pkgs/main/noarch::openpyxl-3.0.5-py_0
  openssl            pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0
  packaging          pkgs/main/noarch::packaging-20.4-py_0
  pandas             pkgs/main/linux-64::pandas-1.1.3-py38he6710b0_0
  pandoc             pkgs/main/linux-64::pandoc-2.11-hb0f4dca_0
  pandocfilters      pkgs/main/linux-64::pandocfilters-1.4.3-py38h06a4308_1
  pango              pkgs/main/linux-64::pango-1.45.3-hd140c19_0
  parso              pkgs/main/noarch::parso-0.7.0-py_0
  partd              pkgs/main/noarch::partd-1.1.0-py_0
  patchelf           pkgs/main/linux-64::patchelf-0.12-he6710b0_0
  path               pkgs/main/linux-64::path-15.0.0-py38_0
  path.py            pkgs/main/noarch::path.py-12.5.0-0
  pathlib2           pkgs/main/linux-64::pathlib2-2.3.5-py38_0
  pathtools          pkgs/main/noarch::pathtools-0.1.2-py_1
  patsy              pkgs/main/linux-64::patsy-0.5.1-py38_0
  pcre               pkgs/main/linux-64::pcre-8.44-he6710b0_0
  pep8               pkgs/main/linux-64::pep8-1.7.1-py38_0
  pexpect            pkgs/main/linux-64::pexpect-4.8.0-py38_0
  pickleshare        pkgs/main/linux-64::pickleshare-0.7.5-py38_1000
  pillow             pkgs/main/linux-64::pillow-8.0.1-py38he98fc37_0
  pip                pkgs/main/linux-64::pip-20.2.4-py38h06a4308_0
  pixman             pkgs/main/linux-64::pixman-0.40.0-h7b6447c_0
  pkginfo            pkgs/main/linux-64::pkginfo-1.6.1-py38h06a4308_0
  pluggy             pkgs/main/linux-64::pluggy-0.13.1-py38_0
  ply                pkgs/main/linux-64::ply-3.11-py38_0
  prometheus_client  pkgs/main/noarch::prometheus_client-0.8.0-py_0
  prompt-toolkit     pkgs/main/noarch::prompt-toolkit-3.0.8-py_0
  prompt_toolkit     pkgs/main/noarch::prompt_toolkit-3.0.8-0
  psutil             pkgs/main/linux-64::psutil-5.7.2-py38h7b6447c_0
  ptyprocess         pkgs/main/linux-64::ptyprocess-0.6.0-py38_0
  py                 pkgs/main/noarch::py-1.9.0-py_0
  py-lief            pkgs/main/linux-64::py-lief-0.10.1-py38h403a769_0
  pycodestyle        pkgs/main/noarch::pycodestyle-2.6.0-py_0
  pycosat            pkgs/main/linux-64::pycosat-0.6.3-py38h7b6447c_1
  pycparser          pkgs/main/noarch::pycparser-2.20-py_2
  pycurl             pkgs/main/linux-64::pycurl-7.43.0.6-py38h1ba5d50_0
  pydocstyle         pkgs/main/noarch::pydocstyle-5.1.1-py_0
  pyflakes           pkgs/main/noarch::pyflakes-2.2.0-py_0
  pygments           pkgs/main/noarch::pygments-2.7.2-pyhd3eb1b0_0
  pylint             pkgs/main/linux-64::pylint-2.6.0-py38_0
  pyodbc             pkgs/main/linux-64::pyodbc-4.0.30-py38he6710b0_0
  pyopenssl          pkgs/main/noarch::pyopenssl-19.1.0-py_1
  pyparsing          pkgs/main/noarch::pyparsing-2.4.7-py_0
  pyqt               pkgs/main/linux-64::pyqt-5.9.2-py38h05f1152_4
  pyrsistent         pkgs/main/linux-64::pyrsistent-0.17.3-py38h7b6447c_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py38_0
  pytables           pkgs/main/linux-64::pytables-3.6.1-py38h9fd0a39_0
  pytest             pkgs/main/linux-64::pytest-6.1.1-py38_0
  python             pkgs/main/linux-64::python-3.8.5-h7579374_1
  python-dateutil    pkgs/main/noarch::python-dateutil-2.8.1-py_0
  python-jsonrpc-se~ pkgs/main/noarch::python-jsonrpc-server-0.4.0-py_0
  python-language-s~ pkgs/main/noarch::python-language-server-0.35.1-py_0
  python-libarchive~ pkgs/main/noarch::python-libarchive-c-2.9-py_0
  pytz               pkgs/main/noarch::pytz-2020.1-py_0
  pywavelets         pkgs/main/linux-64::pywavelets-1.1.1-py38h7b6447c_2
  pyxdg              pkgs/main/noarch::pyxdg-0.27-pyhd3eb1b0_0
  pyyaml             pkgs/main/linux-64::pyyaml-5.3.1-py38h7b6447c_1
  pyzmq              pkgs/main/linux-64::pyzmq-19.0.2-py38he6710b0_1
  qdarkstyle         pkgs/main/noarch::qdarkstyle-2.8.1-py_0
  qt                 pkgs/main/linux-64::qt-5.9.7-h5867ecd_1
  qtawesome          pkgs/main/noarch::qtawesome-1.0.1-py_0
  qtconsole          pkgs/main/noarch::qtconsole-4.7.7-py_0
  qtpy               pkgs/main/noarch::qtpy-1.9.0-py_0
  readline           pkgs/main/linux-64::readline-8.0-h7b6447c_0
  regex              pkgs/main/linux-64::regex-2020.10.15-py38h7b6447c_0
  requests           pkgs/main/noarch::requests-2.24.0-py_0
  ripgrep            pkgs/main/linux-64::ripgrep-12.1.1-0
  rope               pkgs/main/noarch::rope-0.18.0-py_0
  rtree              pkgs/main/linux-64::rtree-0.9.4-py38_1
  ruamel_yaml        pkgs/main/linux-64::ruamel_yaml-0.15.87-py38h7b6447c_1
  scikit-image       pkgs/main/linux-64::scikit-image-0.17.2-py38hdf5156a_0
  scikit-learn       pkgs/main/linux-64::scikit-learn-0.23.2-py38h0573a6f_0
  scipy              pkgs/main/linux-64::scipy-1.5.2-py38h0b6359f_0
  seaborn            pkgs/main/noarch::seaborn-0.11.0-py_0
  secretstorage      pkgs/main/linux-64::secretstorage-3.1.2-py38_0
  send2trash         pkgs/main/linux-64::send2trash-1.5.0-py38_0
  setuptools         pkgs/main/linux-64::setuptools-50.3.1-py38h06a4308_1
  simplegeneric      pkgs/main/linux-64::simplegeneric-0.8.1-py38_2
  singledispatch     pkgs/main/noarch::singledispatch-3.4.0.3-py_1001
  sip                pkgs/main/linux-64::sip-4.19.13-py38he6710b0_0
  six                pkgs/main/linux-64::six-1.15.0-py38h06a4308_0
  snowballstemmer    pkgs/main/noarch::snowballstemmer-2.0.0-py_0
  sortedcollections  pkgs/main/noarch::sortedcollections-1.2.1-py_0
  sortedcontainers   pkgs/main/noarch::sortedcontainers-2.2.2-py_0
  soupsieve          pkgs/main/noarch::soupsieve-2.0.1-py_0
  sphinx             pkgs/main/noarch::sphinx-3.2.1-py_0
  sphinxcontrib      pkgs/main/linux-64::sphinxcontrib-1.0-py38_1
  sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.2-py_0
  sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.2-py_0
  sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-1.0.3-py_0
  sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-py_0
  sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.3-py_0
  sphinxcontrib-ser~ pkgs/main/noarch::sphinxcontrib-serializinghtml-1.1.4-py_0
  sphinxcontrib-web~ pkgs/main/noarch::sphinxcontrib-websupport-1.2.4-py_0
  spyder             pkgs/main/linux-64::spyder-4.1.5-py38_0
  spyder-kernels     pkgs/main/linux-64::spyder-kernels-1.9.4-py38_0
  sqlalchemy         pkgs/main/linux-64::sqlalchemy-1.3.20-py38h7b6447c_0
  sqlite             pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0
  statsmodels        pkgs/main/linux-64::statsmodels-0.12.0-py38h7b6447c_0
  sympy              pkgs/main/linux-64::sympy-1.6.2-py38h06a4308_1
  tbb                pkgs/main/linux-64::tbb-2020.3-hfd86e86_0
  tblib              pkgs/main/noarch::tblib-1.7.0-py_0
  terminado          pkgs/main/linux-64::terminado-0.9.1-py38_0
  testpath           pkgs/main/noarch::testpath-0.4.4-py_0
  threadpoolctl      pkgs/main/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0
  tifffile           pkgs/main/linux-64::tifffile-2020.10.1-py38hdd07704_2
  tk                 pkgs/main/linux-64::tk-8.6.10-hbc83047_0
  toml               pkgs/main/noarch::toml-0.10.1-py_0
  toolz              pkgs/main/noarch::toolz-0.11.1-py_0
  tornado            pkgs/main/linux-64::tornado-6.0.4-py38h7b6447c_1
  tqdm               pkgs/main/noarch::tqdm-4.50.2-py_0
  traitlets          pkgs/main/noarch::traitlets-5.0.5-py_0
  typing_extensions  pkgs/main/noarch::typing_extensions-3.7.4.3-py_0
  ujson              pkgs/main/linux-64::ujson-4.0.1-py38he6710b0_0
  unicodecsv         pkgs/main/linux-64::unicodecsv-0.14.1-py38_0
  unixodbc           pkgs/main/linux-64::unixodbc-2.3.9-h7b6447c_0
  urllib3            pkgs/main/noarch::urllib3-1.25.11-py_0
  watchdog           pkgs/main/linux-64::watchdog-0.10.3-py38_0
  wcwidth            pkgs/main/noarch::wcwidth-0.2.5-py_0
  webencodings       pkgs/main/linux-64::webencodings-0.5.1-py38_1
  werkzeug           pkgs/main/noarch::werkzeug-1.0.1-py_0
  wheel              pkgs/main/noarch::wheel-0.35.1-py_0
  widgetsnbextension pkgs/main/linux-64::widgetsnbextension-3.5.1-py38_0
  wrapt              pkgs/main/linux-64::wrapt-1.11.2-py38h7b6447c_0
  wurlitzer          pkgs/main/linux-64::wurlitzer-2.0.1-py38_0
  xlrd               pkgs/main/noarch::xlrd-1.2.0-py_0
  xlsxwriter         pkgs/main/noarch::xlsxwriter-1.3.7-py_0
  xlwt               pkgs/main/linux-64::xlwt-1.3.0-py38_0
  xmltodict          pkgs/main/noarch::xmltodict-0.12.0-py_0
  xz                 pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
  yaml               pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0
  yapf               pkgs/main/noarch::yapf-0.30.0-py_0
  zeromq             pkgs/main/linux-64::zeromq-4.3.3-he6710b0_3
  zict               pkgs/main/noarch::zict-2.0.0-py_0
  zipp               pkgs/main/noarch::zipp-3.4.0-pyhd3eb1b0_0
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
  zope               pkgs/main/linux-64::zope-1.0-py38_1
  zope.event         pkgs/main/linux-64::zope.event-4.5.0-py38_0
  zope.interface     pkgs/main/linux-64::zope.interface-5.1.2-py38h7b6447c_0
  zstd               pkgs/main/linux-64::zstd-1.4.5-h9ceee32_0


Preparing transaction: done
Executing transaction: done
installation finished.
Do you wish the installer to initialize Anaconda3
by running conda init? [yes|no]
[no] >>> yes
no change     /home/soloelectronicos/anaconda3/condabin/conda
no change     /home/soloelectronicos/anaconda3/bin/conda
no change     /home/soloelectronicos/anaconda3/bin/conda-env
no change     /home/soloelectronicos/anaconda3/bin/activate
no change     /home/soloelectronicos/anaconda3/bin/deactivate
no change     /home/soloelectronicos/anaconda3/etc/profile.d/conda.sh
no change     /home/soloelectronicos/anaconda3/etc/fish/conf.d/conda.fish
no change     /home/soloelectronicos/anaconda3/shell/condabin/Conda.psm1
no change     /home/soloelectronicos/anaconda3/shell/condabin/conda-hook.ps1
no change     /home/soloelectronicos/anaconda3/lib/python3.8/site-packages/xontrib/conda.xsh
no change     /home/soloelectronicos/anaconda3/etc/profile.d/conda.csh
modified      /home/soloelectronicos/.bashrc

==> For changes to take effect, close and re-open your current shell. <==

If you'd prefer that conda's base environment not be activated on startup, 
   set the auto_activate_base parameter to false: 

conda config --set auto_activate_base false

Thank you for installing Anaconda3!

===========================================================================

Working with Python and Jupyter notebooks is a breeze with PyCharm Pro,
designed to be used with Anaconda. Download now and have the best data
tools at your fingertips.

PyCharm Pro for Anaconda is available at: https://www.anaconda.com/pycharm

[email protected]:~/Descargas$ source ~/.bashrc
(base) [email protected]:~/Descargas$ conda info

     active environment : base
    active env location : /home/soloelectronicos/anaconda3
            shell level : 1
       user config file : /home/soloelectronicos/.condarc
 populated config files : 
          conda version : 4.9.2
    conda-build version : 3.20.5
         python version : 3.8.5.final.0
       virtual packages : __glibc=2.31=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /home/soloelectronicos/anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /home/soloelectronicos/anaconda3/pkgs
                          /home/soloelectronicos/.conda/pkgs
       envs directories : /home/soloelectronicos/anaconda3/envs
                          /home/soloelectronicos/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.2 requests/2.24.0 CPython/3.8.5 Linux/5.11.0-27-generic ubuntu/20.04.3 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False

(base) [email protected]:~/Descargas$ conda update conda
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - conda


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    backports.functools_lru_cache-1.6.4|     pyhd3eb1b0_0           9 KB
    backports.tempfile-1.0     |     pyhd3eb1b0_1          11 KB
    conda-4.10.3               |   py38h06a4308_0         2.9 MB
    conda-package-handling-1.7.3|   py38h27cfd23_1         884 KB
    ------------------------------------------------------------
                                           Total:         3.8 MB

The following packages will be UPDATED:

  backports.functoo~                             1.6.1-py_0 --> 1.6.4-pyhd3eb1b0_0
  conda                                4.9.2-py38h06a4308_0 --> 4.10.3-py38h06a4308_0
  conda-package-han~                   1.7.2-py38h03888b9_0 --> 1.7.3-py38h27cfd23_1

The following packages will be DOWNGRADED:

  backports.tempfile                               1.0-py_1 --> 1.0-pyhd3eb1b0_1


Proceed ([y]/n)? y


Downloading and Extracting Packages
backports.tempfile-1 | 11 KB     | ##################################### | 100% 
backports.functools_ | 9 KB      | ##################################### | 100% 
conda-4.10.3         | 2.9 MB    | ##################################### | 100% 
conda-package-handli | 884 KB    | ##################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) [email protected]:~/Descargas$ conda update anaconda
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3

  added / updated specs:
    - anaconda


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _anaconda_depends-2020.07  |           py38_0           6 KB
    _openmp_mutex-4.5          |            1_gnu          22 KB
    alabaster-0.7.12           |     pyhd3eb1b0_0          16 KB
    anaconda-custom            |           py38_1          35 KB
    anaconda-client-1.8.0      |   py38h06a4308_0         152 KB
    anaconda-project-0.10.1    |     pyhd3eb1b0_0         218 KB
    anyio-2.2.0                |   py38h06a4308_1         125 KB
    appdirs-1.4.4              |             py_0          13 KB
    argon2-cffi-20.1.0         |   py38h27cfd23_1          46 KB
    astroid-2.6.6              |   py38h06a4308_0         309 KB
    astropy-4.3.1              |   py38h09021b7_0         6.4 MB
    async_generator-1.10       |     pyhd3eb1b0_0          23 KB
    attrs-21.2.0               |     pyhd3eb1b0_0          46 KB
    babel-2.9.1                |     pyhd3eb1b0_0         5.5 MB
    backcall-0.2.0             |     pyhd3eb1b0_0          13 KB
    backports-1.0              |     pyhd3eb1b0_2         210 KB
    backports.shutil_get_terminal_size-1.0.0|     pyhd3eb1b0_3          10 KB
    beautifulsoup4-4.9.3       |     pyha847dfd_0          86 KB
    bitarray-2.3.0             |   py38h7f8727e_1         139 KB
    black-19.10b0              |             py_0          86 KB
    bleach-4.0.0               |     pyhd3eb1b0_0         113 KB
    blosc-1.21.0               |       h8c45485_0          64 KB
    bokeh-2.3.3                |   py38h06a4308_0         5.9 MB
    brotli-1.0.9               |       he6710b0_2         375 KB
    brotlipy-0.7.0             |py38h27cfd23_1003         323 KB
    c-ares-1.17.1              |       h27cfd23_0         108 KB
    ca-certificates-2021.7.5   |       h06a4308_1         113 KB
    cairo-1.16.0               |       hf32fb01_1         1.0 MB
    certifi-2021.5.30          |   py38h06a4308_0         138 KB
    cffi-1.14.6                |   py38h400218f_0         224 KB
    chardet-4.0.0              |py38h06a4308_1003         194 KB
    charset-normalizer-2.0.4   |     pyhd3eb1b0_0          35 KB
    click-8.0.1                |     pyhd3eb1b0_0          79 KB
    colorama-0.4.4             |     pyhd3eb1b0_0          21 KB
    conda-pack-0.6.0           |     pyhd3eb1b0_0          29 KB
    cryptography-3.4.7         |   py38hd23ed53_0         913 KB
    curl-7.78.0                |       h1ccaba5_0          94 KB
    cython-0.29.24             |   py38h295c915_0         2.0 MB
    dask-2021.8.1              |     pyhd3eb1b0_0          18 KB
    dask-core-2021.8.1         |     pyhd3eb1b0_0         715 KB
    debugpy-1.4.1              |   py38h295c915_0         1.7 MB
    decorator-5.0.9            |     pyhd3eb1b0_0          12 KB
    defusedxml-0.7.1           |     pyhd3eb1b0_0          23 KB
    distributed-2021.8.1       |   py38h06a4308_0         970 KB
    docutils-0.17.1            |   py38h06a4308_1         686 KB
    et_xmlfile-1.1.0           |   py38h06a4308_0          10 KB
    expat-2.4.1                |       h2531618_2         168 KB
    filelock-3.0.12            |     pyhd3eb1b0_1          10 KB
    flask-1.1.2                |     pyhd3eb1b0_0          70 KB
    fontconfig-2.13.1          |       h6c09931_0         250 KB
    fonttools-4.25.0           |     pyhd3eb1b0_0         632 KB
    fsspec-2021.7.0            |     pyhd3eb1b0_0          91 KB
    gevent-21.8.0              |   py38h7f8727e_1         1.5 MB
    glib-2.69.1                |       h5202010_0         1.7 MB
    glob2-0.7                  |     pyhd3eb1b0_0          12 KB
    gmp-6.2.1                  |       h2531618_2         539 KB
    greenlet-1.1.1             |   py38h295c915_0          82 KB
    gst-plugins-base-1.14.0    |       h8213a91_2         4.9 MB
    gstreamer-1.14.0           |       h28cd5cc_2         3.2 MB
    harfbuzz-2.8.1             |       h6f93f22_0         1.1 MB
    idna-3.2                   |     pyhd3eb1b0_0          48 KB
    imageio-2.9.0              |     pyhd3eb1b0_0         3.0 MB
    imagesize-1.2.0            |     pyhd3eb1b0_0           9 KB
    importlib-metadata-3.10.0  |   py38h06a4308_0          33 KB
    importlib_metadata-3.10.0  |       hd3eb1b0_0          11 KB
    iniconfig-1.1.1            |     pyhd3eb1b0_0           8 KB
    intel-openmp-2021.3.0      |    h06a4308_3350         1.4 MB
    ipykernel-6.2.0            |   py38h06a4308_1         192 KB
    ipython-7.26.0             |   py38hb070fc8_0         994 KB
    ipython_genutils-0.2.0     |     pyhd3eb1b0_1          27 KB
    ipywidgets-7.6.3           |     pyhd3eb1b0_1         105 KB
    isort-5.9.3                |     pyhd3eb1b0_0          83 KB
    itsdangerous-2.0.1         |     pyhd3eb1b0_0          18 KB
    jedi-0.17.2                |   py38h06a4308_1         924 KB
    jeepney-0.7.1              |     pyhd3eb1b0_0          38 KB
    jinja2-3.0.1               |     pyhd3eb1b0_0         110 KB
    joblib-1.0.1               |     pyhd3eb1b0_0         208 KB
    json5-0.9.6                |     pyhd3eb1b0_0          21 KB
    jupyter_client-6.1.12      |     pyhd3eb1b0_0          88 KB
    jupyter_console-6.4.0      |     pyhd3eb1b0_0          23 KB
    jupyter_core-4.7.1         |   py38h06a4308_0          68 KB
    jupyter_server-1.4.1       |   py38h06a4308_0         317 KB
    jupyterlab-3.1.7           |     pyhd3eb1b0_0         3.6 MB
    jupyterlab_server-2.7.1    |     pyhd3eb1b0_0          44 KB
    jupyterlab_widgets-1.0.0   |     pyhd3eb1b0_1         109 KB
    keyring-23.0.1             |   py38h06a4308_0          54 KB
    kiwisolver-1.3.1           |   py38h2531618_0          80 KB
    krb5-1.19.2                |       hac12032_0         1.2 MB
    lazy-object-proxy-1.6.0    |   py38h27cfd23_0          30 KB
    lcms2-2.12                 |       h3be6417_0         312 KB
    ld_impl_linux-64-2.35.1    |       h7274673_9         586 KB
    libcurl-7.78.0             |       h0b77cf5_0         338 KB
    libedit-3.1.20210714       |       h7f8727e_0         165 KB
    libev-4.33                 |       h7b6447c_0         112 KB
    libgcc-ng-9.3.0            |      h5101ec6_17         4.8 MB
    libgfortran-ng-7.5.0       |      ha8ba4b0_17          22 KB
    libgfortran4-7.5.0         |      ha8ba4b0_17         995 KB
    libgomp-9.3.0              |      h5101ec6_17         311 KB
    libllvm9-9.0.1             |       h4a3c616_1        21.0 MB
    libnghttp2-1.41.0          |       hf8bcb03_2         667 KB
    libspatialindex-1.9.3      |       h2531618_0         2.1 MB
    libstdcxx-ng-9.3.0         |      hd4cf53a_17         3.1 MB
    libtiff-4.2.0              |       h85742a9_0         502 KB
    libuv-1.40.0               |       h7b6447c_0         736 KB
    libwebp-base-1.2.0         |       h27cfd23_0         437 KB
    libxml2-2.9.12             |       h03d6c58_0         1.2 MB
    llvmlite-0.36.0            |   py38h612dafd_4         396 KB
    locket-0.2.1               |   py38h06a4308_1          10 KB
    lxml-4.6.3                 |   py38h9120a33_0         1.3 MB
    lz4-c-1.9.3                |       h295c915_1         185 KB
    markupsafe-2.0.1           |   py38h27cfd23_0          22 KB
    matplotlib-3.4.2           |   py38h06a4308_0          26 KB
    matplotlib-base-3.4.2      |   py38hab158f2_0         5.6 MB
    matplotlib-inline-0.1.2    |     pyhd3eb1b0_2          12 KB
    mkl-2021.3.0               |     h06a4308_520       141.2 MB
    mkl-service-2.4.0          |   py38h7f8727e_0          59 KB
    mkl_fft-1.3.0              |   py38h42c9631_2         180 KB
    mkl_random-1.2.2           |   py38h51133e4_0         308 KB
    mock-4.0.3                 |     pyhd3eb1b0_0          29 KB
    more-itertools-8.8.0       |     pyhd3eb1b0_0          42 KB
    mpmath-1.2.1               |   py38h06a4308_0         766 KB
    msgpack-python-1.0.2       |   py38hff7bd54_1          83 KB
    munkres-1.1.4              |             py_0          13 KB
    mypy_extensions-0.4.3      |           py38_0           9 KB
    nbclassic-0.2.6            |     pyhd3eb1b0_0          19 KB
    nbclient-0.5.3             |     pyhd3eb1b0_0          62 KB
    nbconvert-6.1.0            |   py38h06a4308_0         481 KB
    nbformat-5.1.3             |     pyhd3eb1b0_0          44 KB
    nest-asyncio-1.5.1         |     pyhd3eb1b0_0          10 KB
    networkx-2.6.2             |     pyhd3eb1b0_0         1.3 MB
    nltk-3.6.2                 |     pyhd3eb1b0_0         988 KB
    nose-1.3.7                 |  pyhd3eb1b0_1006         128 KB
    notebook-6.4.3             |   py38h06a4308_0         4.2 MB
    numba-0.53.1               |   py38ha9443f7_0         3.3 MB
    numexpr-2.7.3              |   py38h22e1b3c_1         188 KB
    numpy-1.20.3               |   py38hf144106_0          23 KB
    numpy-base-1.20.3          |   py38h74d4b33_0         4.5 MB
    openjpeg-2.4.0             |       h3ad879b_0         331 KB
    openpyxl-3.0.7             |     pyhd3eb1b0_0         159 KB
    openssl-1.1.1l             |       h7f8727e_0         2.5 MB
    packaging-21.0             |     pyhd3eb1b0_0          36 KB
    pandas-1.3.2               |   py38h8c16a72_0         9.6 MB
    pandoc-2.12                |       h06a4308_0         9.5 MB
    partd-1.2.0                |     pyhd3eb1b0_0          19 KB
    patchelf-0.12              |       h2531618_1          88 KB
    path-16.0.0                |   py38h06a4308_0          37 KB
    pathlib2-2.3.6             |   py38h06a4308_2          36 KB
    pathspec-0.7.0             |             py_0          26 KB
    pcre-8.45                  |       h295c915_0         207 KB
    pexpect-4.8.0              |     pyhd3eb1b0_3          53 KB
    pickleshare-0.7.5          |  pyhd3eb1b0_1003          13 KB
    pillow-8.3.1               |   py38h2c7a002_0         638 KB
    pip-21.0.1                 |   py38h06a4308_0         1.8 MB
    pkginfo-1.7.1              |   py38h06a4308_0          43 KB
    pluggy-0.13.1              |   py38h06a4308_0          33 KB
    prometheus_client-0.11.0   |     pyhd3eb1b0_0          47 KB
    prompt-toolkit-3.0.17      |     pyh06a4308_0         256 KB
    prompt_toolkit-3.0.17      |       hd3eb1b0_0          12 KB
    psutil-5.8.0               |   py38h27cfd23_1         327 KB
    ptyprocess-0.7.0           |     pyhd3eb1b0_2          17 KB
    py-1.10.0                  |     pyhd3eb1b0_0          76 KB
    pycodestyle-2.6.0          |     pyhd3eb1b0_0          38 KB
    pydocstyle-6.1.1           |     pyhd3eb1b0_0          36 KB
    pyerfa-2.0.0               |   py38h27cfd23_0         345 KB
    pyflakes-2.2.0             |     pyhd3eb1b0_0          56 KB
    pygments-2.10.0            |     pyhd3eb1b0_0         725 KB
    pylint-2.9.6               |   py38h06a4308_1         488 KB
    pyls-black-0.4.6           |       hd3eb1b0_0           9 KB
    pyls-spyder-0.3.2          |     pyhd3eb1b0_0          10 KB
    pyodbc-4.0.31              |   py38h295c915_0          71 KB
    pyopenssl-20.0.1           |     pyhd3eb1b0_1          49 KB
    pyparsing-2.4.7            |     pyhd3eb1b0_0          59 KB
    pysocks-1.7.1              |   py38h06a4308_0          31 KB
    pytest-6.2.4               |   py38h06a4308_2         423 KB
    python-dateutil-2.8.2      |     pyhd3eb1b0_0         233 KB
    python-language-server-0.36.2|     pyhd3eb1b0_0          41 KB
    python-libarchive-c-2.9    |     pyhd3eb1b0_1          47 KB
    pytz-2021.1                |     pyhd3eb1b0_0         181 KB
    pyyaml-5.4.1               |   py38h27cfd23_1         174 KB
    pyzmq-22.2.1               |   py38h295c915_1         465 KB
    qtawesome-1.0.2            |     pyhd3eb1b0_0         760 KB
    qtconsole-5.1.0            |     pyhd3eb1b0_0          98 KB
    qtpy-1.10.0                |     pyhd3eb1b0_0          35 KB
    readline-8.1               |       h27cfd23_0         362 KB
    regex-2021.8.3             |   py38h7f8727e_0         319 KB
    requests-2.26.0            |     pyhd3eb1b0_0          59 KB
    rope-0.19.0                |     pyhd3eb1b0_0         126 KB
    rtree-0.9.7                |   py38h06a4308_1          48 KB
    ruamel_yaml-0.15.100       |   py38h27cfd23_0         258 KB
    scikit-image-0.18.1        |   py38ha9443f7_0         9.5 MB
    scikit-learn-0.24.2        |   py38ha9443f7_0         5.4 MB
    scipy-1.6.2                |   py38had2a1c9_1        15.6 MB
    seaborn-0.11.2             |     pyhd3eb1b0_0         218 KB
    secretstorage-3.3.1        |   py38h06a4308_0          24 KB
    send2trash-1.5.0           |     pyhd3eb1b0_1          14 KB
    setuptools-52.0.0          |   py38h06a4308_0         714 KB
    singledispatch-3.7.0       |  pyhd3eb1b0_1001          12 KB
    six-1.16.0                 |     pyhd3eb1b0_0          18 KB
    snappy-1.1.8               |       he6710b0_0          40 KB
    sniffio-1.2.0              |   py38h06a4308_1          15 KB
    snowballstemmer-2.1.0      |     pyhd3eb1b0_0          62 KB
    sortedcollections-2.1.0    |     pyhd3eb1b0_0          12 KB
    sortedcontainers-2.4.0     |     pyhd3eb1b0_0          26 KB
    soupsieve-2.2.1            |     pyhd3eb1b0_0          32 KB
    sphinx-4.0.2               |     pyhd3eb1b0_0         1.2 MB
    sphinxcontrib-applehelp-1.0.2|     pyhd3eb1b0_0          29 KB
    sphinxcontrib-devhelp-1.0.2|     pyhd3eb1b0_0          23 KB
    sphinxcontrib-htmlhelp-2.0.0|     pyhd3eb1b0_0          32 KB
    sphinxcontrib-jsmath-1.0.1 |     pyhd3eb1b0_0           8 KB
    sphinxcontrib-qthelp-1.0.3 |     pyhd3eb1b0_0          26 KB
    sphinxcontrib-serializinghtml-1.1.5|     pyhd3eb1b0_0          25 KB
    spyder-4.2.5               |   py38h06a4308_0         5.4 MB
    spyder-kernels-1.10.2      |   py38h06a4308_0         102 KB
    sqlalchemy-1.4.22          |   py38h7f8727e_0         1.8 MB
    sqlite-3.36.0              |       hc218d9a_0         990 KB
    statsmodels-0.12.2         |   py38h27cfd23_0         8.5 MB
    sympy-1.8                  |   py38h06a4308_0         9.1 MB
    terminado-0.9.4            |   py38h06a4308_0          25 KB
    testpath-0.5.0             |     pyhd3eb1b0_0          81 KB
    textdistance-4.2.1         |     pyhd3eb1b0_0          29 KB
    threadpoolctl-2.2.0        |     pyhbf3da8f_0          16 KB
    three-merge-0.1.1          |     pyhd3eb1b0_0          10 KB
    toml-0.10.2                |     pyhd3eb1b0_0          20 KB
    toolz-0.11.1               |     pyhd3eb1b0_0          46 KB
    tornado-6.1                |   py38h27cfd23_0         588 KB
    tqdm-4.62.1                |     pyhd3eb1b0_1          84 KB
    traitlets-5.0.5            |     pyhd3eb1b0_0          81 KB
    typed-ast-1.4.3            |   py38h7f8727e_1         185 KB
    typing_extensions-3.10.0.0 |     pyh06a4308_0          27 KB
    ujson-4.0.2                |   py38h2531618_0          45 KB
    urllib3-1.26.6             |     pyhd3eb1b0_1         112 KB
    watchdog-1.0.2             |   py38h06a4308_1          89 KB
    werkzeug-1.0.1             |     pyhd3eb1b0_0         239 KB
    wheel-0.37.0               |     pyhd3eb1b0_0          32 KB
    wrapt-1.12.1               |   py38h7b6447c_1          50 KB
    wurlitzer-2.1.1            |   py38h06a4308_0          13 KB
    xlrd-2.0.1                 |     pyhd3eb1b0_0          90 KB
    xlsxwriter-3.0.1           |     pyhd3eb1b0_0         111 KB
    yapf-0.31.0                |     pyhd3eb1b0_0         126 KB
    zeromq-4.3.4               |       h2531618_0         331 KB
    zict-2.0.0                 |     pyhd3eb1b0_0          10 KB
    zipp-3.5.0                 |     pyhd3eb1b0_0          13 KB
    zope.interface-5.4.0       |   py38h7f8727e_0         301 KB
    zstd-1.4.9                 |       haebb681_0         480 KB
    ------------------------------------------------------------
                                           Total:       352.0 MB

The following NEW packages will be INSTALLED:

  _anaconda_depends  pkgs/main/linux-64::_anaconda_depends-2020.07-py38_0
  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-4.5-1_gnu
  anyio              pkgs/main/linux-64::anyio-2.2.0-py38h06a4308_1
  appdirs            pkgs/main/noarch::appdirs-1.4.4-py_0
  black              pkgs/main/noarch::black-19.10b0-py_0
  brotli             pkgs/main/linux-64::brotli-1.0.9-he6710b0_2
  c-ares             pkgs/main/linux-64::c-ares-1.17.1-h27cfd23_0
  charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0
  conda-pack         pkgs/main/noarch::conda-pack-0.6.0-pyhd3eb1b0_0
  debugpy            pkgs/main/linux-64::debugpy-1.4.1-py38h295c915_0
  fonttools          pkgs/main/noarch::fonttools-4.25.0-pyhd3eb1b0_0
  jupyter_server     pkgs/main/linux-64::jupyter_server-1.4.1-py38h06a4308_0
  jupyterlab_widgets pkgs/main/noarch::jupyterlab_widgets-1.0.0-pyhd3eb1b0_1
  libev              pkgs/main/linux-64::libev-4.33-h7b6447c_0
  libgfortran4       pkgs/main/linux-64::libgfortran4-7.5.0-ha8ba4b0_17
  libgomp            pkgs/main/linux-64::libgomp-9.3.0-h5101ec6_17
  libllvm9           pkgs/main/linux-64::libllvm9-9.0.1-h4a3c616_1
  libnghttp2         pkgs/main/linux-64::libnghttp2-1.41.0-hf8bcb03_2
  libuv              pkgs/main/linux-64::libuv-1.40.0-h7b6447c_0
  libwebp-base       pkgs/main/linux-64::libwebp-base-1.2.0-h27cfd23_0
  matplotlib-inline  pkgs/main/noarch::matplotlib-inline-0.1.2-pyhd3eb1b0_2
  munkres            pkgs/main/noarch::munkres-1.1.4-py_0
  mypy_extensions    pkgs/main/linux-64::mypy_extensions-0.4.3-py38_0
  nbclassic          pkgs/main/noarch::nbclassic-0.2.6-pyhd3eb1b0_0
  openjpeg           pkgs/main/linux-64::openjpeg-2.4.0-h3ad879b_0
  pathspec           pkgs/main/noarch::pathspec-0.7.0-py_0
  pyerfa             pkgs/main/linux-64::pyerfa-2.0.0-py38h27cfd23_0
  pyls-black         pkgs/main/noarch::pyls-black-0.4.6-hd3eb1b0_0
  pyls-spyder        pkgs/main/noarch::pyls-spyder-0.3.2-pyhd3eb1b0_0
  snappy             pkgs/main/linux-64::snappy-1.1.8-he6710b0_0
  sniffio            pkgs/main/linux-64::sniffio-1.2.0-py38h06a4308_1
  textdistance       pkgs/main/noarch::textdistance-4.2.1-pyhd3eb1b0_0
  three-merge        pkgs/main/noarch::three-merge-0.1.1-pyhd3eb1b0_0
  typed-ast          pkgs/main/linux-64::typed-ast-1.4.3-py38h7f8727e_1

The following packages will be UPDATED:

  anaconda-client                              1.7.2-py38_0 --> 1.8.0-py38h06a4308_0
  anaconda-project                               0.8.4-py_0 --> 0.10.1-pyhd3eb1b0_0
  astroid                                      2.4.2-py38_0 --> 2.6.6-py38h06a4308_0
  astropy                              4.0.2-py38h7b6447c_0 --> 4.3.1-py38h09021b7_0
  attrs                                 20.3.0-pyhd3eb1b0_0 --> 21.2.0-pyhd3eb1b0_0
  babel                                  2.8.1-pyhd3eb1b0_0 --> 2.9.1-pyhd3eb1b0_0
  backports.shutil_~ pkgs/main/linux-64::backports.shutil_~ --> pkgs/main/noarch::backports.shutil_get_terminal_size-1.0.0-pyhd3eb1b0_3
  bitarray                             1.6.1-py38h27cfd23_0 --> 2.3.0-py38h7f8727e_1
  bleach                                         3.2.1-py_0 --> 4.0.0-pyhd3eb1b0_0
  blosc                                   1.20.1-hd408876_0 --> 1.21.0-h8c45485_0
  bokeh                                        2.2.3-py38_0 --> 2.3.3-py38h06a4308_0
  brotlipy                          0.7.0-py38h7b6447c_1000 --> 0.7.0-py38h27cfd23_1003
  ca-certificates                              2020.10.14-0 --> 2021.7.5-h06a4308_1
  cairo                                  1.14.12-h8948797_3 --> 1.16.0-hf32fb01_1
  certifi            pkgs/main/noarch::certifi-2020.6.20-p~ --> pkgs/main/linux-64::certifi-2021.5.30-py38h06a4308_0
  cffi                                1.14.3-py38he30daa8_0 --> 1.14.6-py38h400218f_0
  chardet                                   3.0.4-py38_1003 --> 4.0.0-py38h06a4308_1003
  click                                          7.1.2-py_0 --> 8.0.1-pyhd3eb1b0_0
  cryptography                         3.1.1-py38h1ba5d50_0 --> 3.4.7-py38hd23ed53_0
  curl                                    7.71.1-hbc83047_1 --> 7.78.0-h1ccaba5_0
  cython                             0.29.21-py38he6710b0_0 --> 0.29.24-py38h295c915_0
  dask                                          2.30.0-py_0 --> 2021.8.1-pyhd3eb1b0_0
  dask-core                                     2.30.0-py_0 --> 2021.8.1-pyhd3eb1b0_0
  decorator                                      4.4.2-py_0 --> 5.0.9-pyhd3eb1b0_0
  defusedxml                                     0.6.0-py_0 --> 0.7.1-pyhd3eb1b0_0
  distributed                         2.30.1-py38h06a4308_0 --> 2021.8.1-py38h06a4308_0
  docutils                                      0.16-py38_1 --> 0.17.1-py38h06a4308_1
  et_xmlfile         pkgs/main/noarch::et_xmlfile-1.0.1-py~ --> pkgs/main/linux-64::et_xmlfile-1.1.0-py38h06a4308_0
  expat                                   2.2.10-he6710b0_2 --> 2.4.1-h2531618_2
  filelock                                      3.0.12-py_0 --> 3.0.12-pyhd3eb1b0_1
  fontconfig                              2.13.0-h9420a91_0 --> 2.13.1-h6c09931_0
  fsspec                                         0.8.3-py_0 --> 2021.7.0-pyhd3eb1b0_0
  gevent                              20.9.0-py38h7b6447c_0 --> 21.8.0-py38h7f8727e_1
  glib                                    2.66.1-h92f7085_0 --> 2.69.1-h5202010_0
  gmp                                      6.1.2-h6c8ec71_1 --> 6.2.1-h2531618_2
  greenlet                            0.4.17-py38h7b6447c_0 --> 1.1.1-py38h295c915_0
  gst-plugins-base                        1.14.0-hbbd80ab_1 --> 1.14.0-h8213a91_2
  gstreamer                               1.14.0-hb31296c_0 --> 1.14.0-h28cd5cc_2
  harfbuzz                                 2.4.0-hca77d97_1 --> 2.8.1-h6f93f22_0
  idna                                            2.10-py_0 --> 3.2-pyhd3eb1b0_0
  importlib-metadata pkgs/main/noarch::importlib-metadata-~ --> pkgs/main/linux-64::importlib-metadata-3.10.0-py38h06a4308_0
  importlib_metadata                                2.0.0-1 --> 3.10.0-hd3eb1b0_0
  intel-openmp                                   2020.2-254 --> 2021.3.0-h06a4308_3350
  ipykernel                            5.3.4-py38h5ca1d4c_0 --> 6.2.0-py38h06a4308_1
  ipython                             7.19.0-py38hb070fc8_0 --> 7.26.0-py38hb070fc8_0
  ipython_genutils   pkgs/main/linux-64::ipython_genutils-~ --> pkgs/main/noarch::ipython_genutils-0.2.0-pyhd3eb1b0_1
  ipywidgets                                     7.5.1-py_1 --> 7.6.3-pyhd3eb1b0_1
  isort                                          5.6.4-py_0 --> 5.9.3-pyhd3eb1b0_0
  itsdangerous                                   1.1.0-py_0 --> 2.0.1-pyhd3eb1b0_0
  jedi                                        0.17.1-py38_0 --> 0.17.2-py38h06a4308_1
  jeepney                                0.5.0-pyhd3eb1b0_0 --> 0.7.1-pyhd3eb1b0_0
  jinja2                                        2.11.2-py_0 --> 3.0.1-pyhd3eb1b0_0
  joblib                                        0.17.0-py_0 --> 1.0.1-pyhd3eb1b0_0
  json5                                          0.9.5-py_0 --> 0.9.6-pyhd3eb1b0_0
  jupyter_client                                 6.1.7-py_0 --> 6.1.12-pyhd3eb1b0_0
  jupyter_console                                6.2.0-py_0 --> 6.4.0-pyhd3eb1b0_0
  jupyter_core                                 4.6.3-py38_0 --> 4.7.1-py38h06a4308_0
  jupyterlab                                     2.2.6-py_0 --> 3.1.7-pyhd3eb1b0_0
  jupyterlab_server                              1.2.0-py_0 --> 2.7.1-pyhd3eb1b0_0
  keyring                                     21.4.0-py38_1 --> 23.0.1-py38h06a4308_0
  kiwisolver                           1.3.0-py38h2531618_0 --> 1.3.1-py38h2531618_0
  krb5                                    1.18.2-h173b8e3_0 --> 1.19.2-hac12032_0
  lazy-object-proxy                    1.4.3-py38h7b6447c_0 --> 1.6.0-py38h27cfd23_0
  lcms2                                     2.11-h396b838_0 --> 2.12-h3be6417_0
  ld_impl_linux-64                        2.33.1-h53a641e_7 --> 2.35.1-h7274673_9
  libcurl                                 7.71.1-h20c2e04_1 --> 7.78.0-h0b77cf5_0
  libedit                           3.1.20191231-h14c3975_1 --> 3.1.20210714-h7f8727e_0
  libgcc-ng                                9.1.0-hdf63c60_0 --> 9.3.0-h5101ec6_17
  libgfortran-ng                           7.3.0-hdf63c60_0 --> 7.5.0-ha8ba4b0_17
  libstdcxx-ng                             9.1.0-hdf63c60_0 --> 9.3.0-hd4cf53a_17
  libtiff                                  4.1.0-h2733197_1 --> 4.2.0-h85742a9_0
  libxml2                                 2.9.10-hb55368b_3 --> 2.9.12-h03d6c58_0
  llvmlite                            0.34.0-py38h269e1b5_4 --> 0.36.0-py38h612dafd_4
  locket                                       0.2.0-py38_1 --> 0.2.1-py38h06a4308_1
  lxml                                 4.6.1-py38hefd8a0e_0 --> 4.6.3-py38h9120a33_0
  lz4-c                                    1.9.2-heb0550a_3 --> 1.9.3-h295c915_1
  markupsafe                           1.1.1-py38h7b6447c_0 --> 2.0.1-py38h27cfd23_0
  matplotlib                                        3.3.2-0 --> 3.4.2-py38h06a4308_0
  matplotlib-base                      3.3.2-py38h817c723_0 --> 3.4.2-py38hab158f2_0
  mkl                                            2020.2-256 --> 2021.3.0-h06a4308_520
  mkl-service                          2.3.0-py38he904b0f_0 --> 2.4.0-py38h7f8727e_0
  mkl_fft                              1.2.0-py38h23d657b_0 --> 1.3.0-py38h42c9631_2
  mkl_random                           1.1.1-py38h0573a6f_0 --> 1.2.2-py38h51133e4_0
  mock                                           4.0.2-py_0 --> 4.0.3-pyhd3eb1b0_0
  more-itertools                         8.6.0-pyhd3eb1b0_0 --> 8.8.0-pyhd3eb1b0_0
  mpmath                                       1.1.0-py38_0 --> 1.2.1-py38h06a4308_0
  msgpack-python                       1.0.0-py38hfd86e86_1 --> 1.0.2-py38hff7bd54_1
  nbclient                                       0.5.1-py_0 --> 0.5.3-pyhd3eb1b0_0
  nbconvert                                    6.0.7-py38_0 --> 6.1.0-py38h06a4308_0
  nbformat                                       5.0.8-py_0 --> 5.1.3-pyhd3eb1b0_0
  nest-asyncio                           1.4.2-pyhd3eb1b0_0 --> 1.5.1-pyhd3eb1b0_0
  networkx                                         2.5-py_0 --> 2.6.2-pyhd3eb1b0_0
  nltk                                             3.5-py_0 --> 3.6.2-pyhd3eb1b0_0
  nose                pkgs/main/linux-64::nose-1.3.7-py38_2 --> pkgs/main/noarch::nose-1.3.7-pyhd3eb1b0_1006
  notebook                                     6.1.4-py38_0 --> 6.4.3-py38h06a4308_0
  numba                               0.51.2-py38h0573a6f_1 --> 0.53.1-py38ha9443f7_0
  numexpr                              2.7.1-py38h423224d_0 --> 2.7.3-py38h22e1b3c_1
  numpy                               1.19.2-py38h54aff64_0 --> 1.20.3-py38hf144106_0
  numpy-base                          1.19.2-py38hfa32c7d_0 --> 1.20.3-py38h74d4b33_0
  openpyxl                                       3.0.5-py_0 --> 3.0.7-pyhd3eb1b0_0
  openssl                                 1.1.1h-h7b6447c_0 --> 1.1.1l-h7f8727e_0
  packaging                                       20.4-py_0 --> 21.0-pyhd3eb1b0_0
  pandas                               1.1.3-py38he6710b0_0 --> 1.3.2-py38h8c16a72_0
  pandoc                                    2.11-hb0f4dca_0 --> 2.12-h06a4308_0
  partd                                          1.1.0-py_0 --> 1.2.0-pyhd3eb1b0_0
  patchelf                                  0.12-he6710b0_0 --> 0.12-h2531618_1
  path                                        15.0.0-py38_0 --> 16.0.0-py38h06a4308_0
  pathlib2                                     2.3.5-py38_0 --> 2.3.6-py38h06a4308_2
  pcre                                      8.44-he6710b0_0 --> 8.45-h295c915_0
  pexpect            pkgs/main/linux-64::pexpect-4.8.0-py3~ --> pkgs/main/noarch::pexpect-4.8.0-pyhd3eb1b0_3
  pickleshare        pkgs/main/linux-64::pickleshare-0.7.5~ --> pkgs/main/noarch::pickleshare-0.7.5-pyhd3eb1b0_1003
  pillow                               8.0.1-py38he98fc37_0 --> 8.3.1-py38h2c7a002_0
  pip                                 20.2.4-py38h06a4308_0 --> 21.0.1-py38h06a4308_0
  pkginfo                              1.6.1-py38h06a4308_0 --> 1.7.1-py38h06a4308_0
  prometheus_client                              0.8.0-py_0 --> 0.11.0-pyhd3eb1b0_0
  prompt-toolkit                                 3.0.8-py_0 --> 3.0.17-pyh06a4308_0
  prompt_toolkit                                    3.0.8-0 --> 3.0.17-hd3eb1b0_0
  psutil                               5.7.2-py38h7b6447c_0 --> 5.8.0-py38h27cfd23_1
  ptyprocess         pkgs/main/linux-64::ptyprocess-0.6.0-~ --> pkgs/main/noarch::ptyprocess-0.7.0-pyhd3eb1b0_2
  py                                             1.9.0-py_0 --> 1.10.0-pyhd3eb1b0_0
  pydocstyle                                     5.1.1-py_0 --> 6.1.1-pyhd3eb1b0_0
  pygments                               2.7.2-pyhd3eb1b0_0 --> 2.10.0-pyhd3eb1b0_0
  pylint                                       2.6.0-py38_0 --> 2.9.6-py38h06a4308_1
  pyodbc                              4.0.30-py38he6710b0_0 --> 4.0.31-py38h295c915_0
  pyopenssl                                     19.1.0-py_1 --> 20.0.1-pyhd3eb1b0_1
  pytest                                       6.1.1-py38_0 --> 6.2.4-py38h06a4308_2
  python-dateutil                                2.8.1-py_0 --> 2.8.2-pyhd3eb1b0_0
  python-language-s~                            0.35.1-py_0 --> 0.36.2-pyhd3eb1b0_0
  python-libarchive~                               2.9-py_0 --> 2.9-pyhd3eb1b0_1
  pytz                                          2020.1-py_0 --> 2021.1-pyhd3eb1b0_0
  pyyaml                               5.3.1-py38h7b6447c_1 --> 5.4.1-py38h27cfd23_1
  pyzmq                               19.0.2-py38he6710b0_1 --> 22.2.1-py38h295c915_1
  qtawesome                                      1.0.1-py_0 --> 1.0.2-pyhd3eb1b0_0
  qtconsole                                      4.7.7-py_0 --> 5.1.0-pyhd3eb1b0_0
  qtpy                                           1.9.0-py_0 --> 1.10.0-pyhd3eb1b0_0
  readline                                   8.0-h7b6447c_0 --> 8.1-h27cfd23_0
  regex                           2020.10.15-py38h7b6447c_0 --> 2021.8.3-py38h7f8727e_0
  requests                                      2.24.0-py_0 --> 2.26.0-pyhd3eb1b0_0
  rope                                          0.18.0-py_0 --> 0.19.0-pyhd3eb1b0_0
  rtree                                        0.9.4-py38_1 --> 0.9.7-py38h06a4308_1
  ruamel_yaml                        0.15.87-py38h7b6447c_1 --> 0.15.100-py38h27cfd23_0
  scikit-image                        0.17.2-py38hdf5156a_0 --> 0.18.1-py38ha9443f7_0
  scikit-learn                        0.23.2-py38h0573a6f_0 --> 0.24.2-py38ha9443f7_0
  scipy                                1.5.2-py38h0b6359f_0 --> 1.6.2-py38had2a1c9_1
  seaborn                                       0.11.0-py_0 --> 0.11.2-pyhd3eb1b0_0
  secretstorage                                3.1.2-py38_0 --> 3.3.1-py38h06a4308_0
  send2trash         pkgs/main/linux-64::send2trash-1.5.0-~ --> pkgs/main/noarch::send2trash-1.5.0-pyhd3eb1b0_1
  setuptools                          50.3.1-py38h06a4308_1 --> 52.0.0-py38h06a4308_0
  singledispatch                            3.4.0.3-py_1001 --> 3.7.0-pyhd3eb1b0_1001
  six                pkgs/main/linux-64::six-1.15.0-py38h0~ --> pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_0
  snowballstemmer                                2.0.0-py_0 --> 2.1.0-pyhd3eb1b0_0
  sortedcollections                              1.2.1-py_0 --> 2.1.0-pyhd3eb1b0_0
  sortedcontainers                               2.2.2-py_0 --> 2.4.0-pyhd3eb1b0_0
  soupsieve                                      2.0.1-py_0 --> 2.2.1-pyhd3eb1b0_0
  sphinx                                         3.2.1-py_0 --> 4.0.2-pyhd3eb1b0_0
  sphinxcontrib-htm~                             1.0.3-py_0 --> 2.0.0-pyhd3eb1b0_0
  sphinxcontrib-ser~                             1.1.4-py_0 --> 1.1.5-pyhd3eb1b0_0
  spyder                                       4.1.5-py38_0 --> 4.2.5-py38h06a4308_0
  spyder-kernels                               1.9.4-py38_0 --> 1.10.2-py38h06a4308_0
  sqlalchemy                          1.3.20-py38h7b6447c_0 --> 1.4.22-py38h7f8727e_0
  sqlite                                  3.33.0-h62c20be_0 --> 3.36.0-hc218d9a_0
  statsmodels                         0.12.0-py38h7b6447c_0 --> 0.12.2-py38h27cfd23_0
  sympy                                1.6.2-py38h06a4308_1 --> 1.8-py38h06a4308_0
  terminado                                    0.9.1-py38_0 --> 0.9.4-py38h06a4308_0
  testpath                                       0.4.4-py_0 --> 0.5.0-pyhd3eb1b0_0
  threadpoolctl                          2.1.0-pyh5ca1d4c_0 --> 2.2.0-pyhbf3da8f_0
  toml                                          0.10.1-py_0 --> 0.10.2-pyhd3eb1b0_0
  tornado                              6.0.4-py38h7b6447c_1 --> 6.1-py38h27cfd23_0
  tqdm                                          4.50.2-py_0 --> 4.62.1-pyhd3eb1b0_1
  typing_extensions                            3.7.4.3-py_0 --> 3.10.0.0-pyh06a4308_0
  ujson                                4.0.1-py38he6710b0_0 --> 4.0.2-py38h2531618_0
  urllib3                                      1.25.11-py_0 --> 1.26.6-pyhd3eb1b0_1
  watchdog                                    0.10.3-py38_0 --> 1.0.2-py38h06a4308_1
  wheel                                         0.35.1-py_0 --> 0.37.0-pyhd3eb1b0_0
  wrapt                               1.11.2-py38h7b6447c_0 --> 1.12.1-py38h7b6447c_1
  wurlitzer                                    2.0.1-py38_0 --> 2.1.1-py38h06a4308_0
  xlrd                                           1.2.0-py_0 --> 2.0.1-pyhd3eb1b0_0
  xlsxwriter                                     1.3.7-py_0 --> 3.0.1-pyhd3eb1b0_0
  yapf                                          0.30.0-py_0 --> 0.31.0-pyhd3eb1b0_0
  zeromq                                   4.3.3-he6710b0_3 --> 4.3.4-h2531618_0
  zipp                                   3.4.0-pyhd3eb1b0_0 --> 3.5.0-pyhd3eb1b0_0
  zope.interface                       5.1.2-py38h7b6447c_0 --> 5.4.0-py38h7f8727e_0
  zstd                                     1.4.5-h9ceee32_0 --> 1.4.9-haebb681_0

The following packages will be DOWNGRADED:

  alabaster                                     0.7.12-py_0 --> 0.7.12-pyhd3eb1b0_0
  anaconda                                   2020.11-py38_0 --> custom-py38_1
  argon2-cffi                         20.1.0-py38h7b6447c_1 --> 20.1.0-py38h27cfd23_1
  async_generator                                 1.10-py_0 --> 1.10-pyhd3eb1b0_0
  backcall                                       0.2.0-py_0 --> 0.2.0-pyhd3eb1b0_0
  backports                                        1.0-py_2 --> 1.0-pyhd3eb1b0_2
  beautifulsoup4                         4.9.3-pyhb0f4dca_0 --> 4.9.3-pyha847dfd_0
  colorama                                       0.4.4-py_0 --> 0.4.4-pyhd3eb1b0_0
  flask                                          1.1.2-py_0 --> 1.1.2-pyhd3eb1b0_0
  glob2                                            0.7-py_0 --> 0.7-pyhd3eb1b0_0
  imageio                                        2.9.0-py_0 --> 2.9.0-pyhd3eb1b0_0
  imagesize                                      1.2.0-py_0 --> 1.2.0-pyhd3eb1b0_0
  iniconfig                                      1.1.1-py_0 --> 1.1.1-pyhd3eb1b0_0
  libspatialindex                          1.9.3-he6710b0_0 --> 1.9.3-h2531618_0
  pluggy                                      0.13.1-py38_0 --> 0.13.1-py38h06a4308_0
  pycodestyle                                    2.6.0-py_0 --> 2.6.0-pyhd3eb1b0_0
  pyflakes                                       2.2.0-py_0 --> 2.2.0-pyhd3eb1b0_0
  pyparsing                                      2.4.7-py_0 --> 2.4.7-pyhd3eb1b0_0
  pysocks                                      1.7.1-py38_0 --> 1.7.1-py38h06a4308_0
  sphinxcontrib-app~                             1.0.2-py_0 --> 1.0.2-pyhd3eb1b0_0
  sphinxcontrib-dev~                             1.0.2-py_0 --> 1.0.2-pyhd3eb1b0_0
  sphinxcontrib-jsm~                             1.0.1-py_0 --> 1.0.1-pyhd3eb1b0_0
  sphinxcontrib-qth~                             1.0.3-py_0 --> 1.0.3-pyhd3eb1b0_0
  toolz                                         0.11.1-py_0 --> 0.11.1-pyhd3eb1b0_0
  traitlets                                      5.0.5-py_0 --> 5.0.5-pyhd3eb1b0_0
  werkzeug                                       1.0.1-py_0 --> 1.0.1-pyhd3eb1b0_0
  zict                                           2.0.0-py_0 --> 2.0.0-pyhd3eb1b0_0


Proceed ([y]/n)? y


Downloading and Extracting Packages
anyio-2.2.0          | 125 KB    | ##################################### | 100% 
rtree-0.9.7          | 48 KB     | ##################################### | 100% 
libev-4.33           | 112 KB    | ##################################### | 100% 
libgomp-9.3.0        | 311 KB    | ##################################### | 100% 
iniconfig-1.1.1      | 8 KB      | ##################################### | 100% 
typing_extensions-3. | 27 KB     | ##################################### | 100% 
pathspec-0.7.0       | 26 KB     | ##################################### | 100% 
sphinxcontrib-devhel | 23 KB     | ##################################### | 100% 
soupsieve-2.2.1      | 32 KB     | ##################################### | 100% 
setuptools-52.0.0    | 714 KB    | ##################################### | 100% 
readline-8.1         | 362 KB    | ##################################### | 100% 
astropy-4.3.1        | 6.4 MB    | ##################################### | 100% 
jedi-0.17.2          | 924 KB    | ##################################### | 100% 
argon2-cffi-20.1.0   | 46 KB     | ##################################### | 100% 
brotli-1.0.9         | 375 KB    | ##################################### | 100% 
openpyxl-3.0.7       | 159 KB    | ##################################### | 100% 
python-language-serv | 41 KB     | ##################################### | 100% 
zstd-1.4.9           | 480 KB    | ##################################### | 100% 
pathlib2-2.3.6       | 36 KB     | ##################################### | 100% 
numba-0.53.1         | 3.3 MB    | ##################################### | 100% 
secretstorage-3.3.1  | 24 KB     | ##################################### | 100% 
sphinxcontrib-htmlhe | 32 KB     | ##################################### | 100% 
libgfortran-ng-7.5.0 | 22 KB     | ##################################### | 100% 
wurlitzer-2.1.1      | 13 KB     | ##################################### | 100% 
_openmp_mutex-4.5    | 22 KB     | ##################################### | 100% 
docutils-0.17.1      | 686 KB    | ##################################### | 100% 
pytz-2021.1          | 181 KB    | ##################################### | 100% 
pcre-8.45            | 207 KB    | ##################################### | 100% 
tornado-6.1          | 588 KB    | ##################################### | 100% 
networkx-2.6.2       | 1.3 MB    | ##################################### | 100% 
isort-5.9.3          | 83 KB     | ##################################### | 100% 
regex-2021.8.3       | 319 KB    | ##################################### | 100% 
six-1.16.0           | 18 KB     | ##################################### | 100% 
pyopenssl-20.0.1     | 49 KB     | ##################################### | 100% 
idna-3.2             | 48 KB     | ##################################### | 100% 
libspatialindex-1.9. | 2.1 MB    | ##################################### | 100% 
ujson-4.0.2          | 45 KB     | ##################################### | 100% 
pluggy-0.13.1        | 33 KB     | ##################################### | 100% 
yapf-0.31.0          | 126 KB    | ##################################### | 100% 
prompt-toolkit-3.0.1 | 256 KB    | ##################################### | 100% 
scikit-learn-0.24.2  | 5.4 MB    | ##################################### | 100% 
python-libarchive-c- | 47 KB     | ##################################### | 100% 
appdirs-1.4.4        | 13 KB     | ##################################### | 100% 
werkzeug-1.0.1       | 239 KB    | ##################################### | 100% 
gevent-21.8.0        | 1.5 MB    | ##################################### | 100% 
nbclassic-0.2.6      | 19 KB     | ##################################### | 100% 
terminado-0.9.4      | 25 KB     | ##################################### | 100% 
lxml-4.6.3           | 1.3 MB    | ##################################### | 100% 
pyls-spyder-0.3.2    | 10 KB     | ##################################### | 100% 
urllib3-1.26.6       | 112 KB    | ##################################### | 100% 
sphinxcontrib-qthelp | 26 KB     | ##################################### | 100% 
cffi-1.14.6          | 224 KB    | ##################################### | 100% 
keyring-23.0.1       | 54 KB     | ##################################### | 100% 
libedit-3.1.20210714 | 165 KB    | ##################################### | 100% 
colorama-0.4.4       | 21 KB     | ##################################### | 100% 
cryptography-3.4.7   | 913 KB    | ##################################### | 100% 
msgpack-python-1.0.2 | 83 KB     | ##################################### | 100% 
jupyterlab_widgets-1 | 109 KB    | ##################################### | 100% 
anaconda-project-0.1 | 218 KB    | ##################################### | 100% 
pyparsing-2.4.7      | 59 KB     | ##################################### | 100% 
watchdog-1.0.2       | 89 KB     | ##################################### | 100% 
importlib_metadata-3 | 11 KB     | ##################################### | 100% 
prompt_toolkit-3.0.1 | 12 KB     | ##################################### | 100% 
qtconsole-5.1.0      | 98 KB     | ##################################### | 100% 
ipykernel-6.2.0      | 192 KB    | ##################################### | 100% 
fontconfig-2.13.1    | 250 KB    | ##################################### | 100% 
path-16.0.0          | 37 KB     | ##################################### | 100% 
pydocstyle-6.1.1     | 36 KB     | ##################################### | 100% 
libllvm9-9.0.1       | 21.0 MB   | ##################################### | 100% 
mkl_fft-1.3.0        | 180 KB    | ##################################### | 100% 
expat-2.4.1          | 168 KB    | ##################################### | 100% 
bokeh-2.3.3          | 5.9 MB    | ##################################### | 100% 
mkl-service-2.4.0    | 59 KB     | ##################################### | 100% 
babel-2.9.1          | 5.5 MB    | ##################################### | 100% 
psutil-5.8.0         | 327 KB    | ##################################### | 100% 
markupsafe-2.0.1     | 22 KB     | ##################################### | 100% 
tqdm-4.62.1          | 84 KB     | ##################################### | 100% 
pexpect-4.8.0        | 53 KB     | ##################################### | 100% 
jupyter_server-1.4.1 | 317 KB    | ##################################### | 100% 
pkginfo-1.7.1        | 43 KB     | ##################################### | 100% 
krb5-1.19.2          | 1.2 MB    | ##################################### | 100% 
more-itertools-8.8.0 | 42 KB     | ##################################### | 100% 
spyder-kernels-1.10. | 102 KB    | ##################################### | 100% 
chardet-4.0.0        | 194 KB    | ##################################### | 100% 
curl-7.78.0          | 94 KB     | ##################################### | 100% 
kiwisolver-1.3.1     | 80 KB     | ##################################### | 100% 
pyerfa-2.0.0         | 345 KB    | ##################################### | 100% 
cairo-1.16.0         | 1.0 MB    | ##################################### | 100% 
greenlet-1.1.1       | 82 KB     | ##################################### | 100% 
patchelf-0.12        | 88 KB     | ##################################### | 100% 
munkres-1.1.4        | 13 KB     | ##################################### | 100% 
nltk-3.6.2           | 988 KB    | ##################################### | 100% 
glob2-0.7            | 12 KB     | ##################################### | 100% 
anaconda-custom      | 35 KB     | ##################################### | 100% 
numexpr-2.7.3        | 188 KB    | ##################################### | 100% 
numpy-1.20.3         | 23 KB     | ##################################### | 100% 
libtiff-4.2.0        | 502 KB    | ##################################### | 100% 
imagesize-1.2.0      | 9 KB      | ##################################### | 100% 
_anaconda_depends-20 | 6 KB      | ##################################### | 100% 
typed-ast-1.4.3      | 185 KB    | ##################################### | 100% 
libnghttp2-1.41.0    | 667 KB    | ##################################### | 100% 
ruamel_yaml-0.15.100 | 258 KB    | ##################################### | 100% 
decorator-5.0.9      | 12 KB     | ##################################### | 100% 
backcall-0.2.0       | 13 KB     | ##################################### | 100% 
sniffio-1.2.0        | 15 KB     | ##################################### | 100% 
qtawesome-1.0.2      | 760 KB    | ##################################### | 100% 
sphinx-4.0.2         | 1.2 MB    | ##################################### | 100% 
libuv-1.40.0         | 736 KB    | ##################################### | 100% 
openssl-1.1.1l       | 2.5 MB    | ##################################### | 100% 
ipython_genutils-0.2 | 27 KB     | ##################################### | 100% 
lcms2-2.12           | 312 KB    | ##################################### | 100% 
pyls-black-0.4.6     | 9 KB      | ##################################### | 100% 
bleach-4.0.0         | 113 KB    | ##################################### | 100% 
pandas-1.3.2         | 9.6 MB    | ##################################### | 100% 
jupyterlab_server-2. | 44 KB     | ##################################### | 100% 
imageio-2.9.0        | 3.0 MB    | ##################################### | 100% 
pyodbc-4.0.31        | 71 KB     | ##################################### | 100% 
charset-normalizer-2 | 35 KB     | ##################################### | 100% 
gmp-6.2.1            | 539 KB    | ##################################### | 100% 
requests-2.26.0      | 59 KB     | ##################################### | 100% 
wheel-0.37.0         | 32 KB     | ##################################### | 100% 
async_generator-1.10 | 23 KB     | ##################################### | 100% 
wrapt-1.12.1         | 50 KB     | ##################################### | 100% 
bitarray-2.3.0       | 139 KB    | ##################################### | 100% 
anaconda-client-1.8. | 152 KB    | ##################################### | 100% 
jupyterlab-3.1.7     | 3.6 MB    | ##################################### | 100% 
c-ares-1.17.1        | 108 KB    | ##################################### | 100% 
gst-plugins-base-1.1 | 4.9 MB    | ##################################### | 100% 
lazy-object-proxy-1. | 30 KB     | ##################################### | 100% 
packaging-21.0       | 36 KB     | ##################################### | 100% 
gstreamer-1.14.0     | 3.2 MB    | ##################################### | 100% 
scikit-image-0.18.1  | 9.5 MB    | ##################################### | 100% 
mypy_extensions-0.4. | 9 KB      | ##################################### | 100% 
itsdangerous-2.0.1   | 18 KB     | ##################################### | 100% 
xlsxwriter-3.0.1     | 111 KB    | ##################################### | 100% 
llvmlite-0.36.0      | 396 KB    | ##################################### | 100% 
astroid-2.6.6        | 309 KB    | ##################################### | 100% 
three-merge-0.1.1    | 10 KB     | ##################################### | 100% 
notebook-6.4.3       | 4.2 MB    | ##################################### | 100% 
mock-4.0.3           | 29 KB     | ##################################### | 100% 
fsspec-2021.7.0      | 91 KB     | ##################################### | 100% 
ipywidgets-7.6.3     | 105 KB    | ##################################### | 100% 
pip-21.0.1           | 1.8 MB    | ##################################### | 100% 
blosc-1.21.0         | 64 KB     | ##################################### | 100% 
qtpy-1.10.0          | 35 KB     | ##################################### | 100% 
beautifulsoup4-4.9.3 | 86 KB     | ##################################### | 100% 
openjpeg-2.4.0       | 331 KB    | ##################################### | 100% 
nbconvert-6.1.0      | 481 KB    | ##################################### | 100% 
json5-0.9.6          | 21 KB     | ##################################### | 100% 
jupyter_console-6.4. | 23 KB     | ##################################### | 100% 
scipy-1.6.2          | 15.6 MB   | ##################################### | 100% 
libwebp-base-1.2.0   | 437 KB    | ##################################### | 100% 
sphinxcontrib-jsmath | 8 KB      | ##################################### | 100% 
libgcc-ng-9.3.0      | 4.8 MB    | ##################################### | 100% 
defusedxml-0.7.1     | 23 KB     | ##################################### | 100% 
backports.shutil_get | 10 KB     | ##################################### | 100% 
dask-2021.8.1        | 18 KB     | ##################################### | 100% 
zipp-3.5.0           | 13 KB     | ##################################### | 100% 
ca-certificates-2021 | 113 KB    | ##################################### | 100% 
libstdcxx-ng-9.3.0   | 3.1 MB    | ##################################### | 100% 
toml-0.10.2          | 20 KB     | ##################################### | 100% 
harfbuzz-2.8.1       | 1.1 MB    | ##################################### | 100% 
backports-1.0        | 210 KB    | ##################################### | 100% 
sortedcontainers-2.4 | 26 KB     | ##################################### | 100% 
testpath-0.5.0       | 81 KB     | ##################################### | 100% 
pyflakes-2.2.0       | 56 KB     | ##################################### | 100% 
pyzmq-22.2.1         | 465 KB    | ##################################### | 100% 
singledispatch-3.7.0 | 12 KB     | ##################################### | 100% 
matplotlib-base-3.4. | 5.6 MB    | ##################################### | 100% 
pandoc-2.12          | 9.5 MB    | ##################################### | 100% 
xlrd-2.0.1           | 90 KB     | ##################################### | 100% 
nose-1.3.7           | 128 KB    | ##################################### | 100% 
statsmodels-0.12.2   | 8.5 MB    | ##################################### | 100% 
flask-1.1.2          | 70 KB     | ##################################### | 100% 
importlib-metadata-3 | 33 KB     | ##################################### | 100% 
alabaster-0.7.12     | 16 KB     | ##################################### | 100% 
sqlite-3.36.0        | 990 KB    | ##################################### | 100% 
rope-0.19.0          | 126 KB    | ##################################### | 100% 
send2trash-1.5.0     | 14 KB     | ##################################### | 100% 
cython-0.29.24       | 2.0 MB    | ##################################### | 100% 
nbformat-5.1.3       | 44 KB     | ##################################### | 100% 
libcurl-7.78.0       | 338 KB    | ##################################### | 100% 
threadpoolctl-2.2.0  | 16 KB     | ##################################### | 100% 
pytest-6.2.4         | 423 KB    | ##################################### | 100% 
pysocks-1.7.1        | 31 KB     | ##################################### | 100% 
distributed-2021.8.1 | 970 KB    | ##################################### | 100% 
pyyaml-5.4.1         | 174 KB    | ##################################### | 100% 
libgfortran4-7.5.0   | 995 KB    | ##################################### | 100% 
mkl_random-1.2.2     | 308 KB    | ##################################### | 100% 
seaborn-0.11.2       | 218 KB    | ##################################### | 100% 
prometheus_client-0. | 47 KB     | ##################################### | 100% 
debugpy-1.4.1        | 1.7 MB    | ##################################### | 100% 
pylint-2.9.6         | 488 KB    | ##################################### | 100% 
black-19.10b0        | 86 KB     | ##################################### | 100% 
glib-2.69.1          | 1.7 MB    | ##################################### | 100% 
fonttools-4.25.0     | 632 KB    | ##################################### | 100% 
partd-1.2.0          | 19 KB     | ##################################### | 100% 
jupyter_client-6.1.1 | 88 KB     | ##################################### | 100% 
matplotlib-3.4.2     | 26 KB     | ##################################### | 100% 
sortedcollections-2. | 12 KB     | ##################################### | 100% 
sphinxcontrib-serial | 25 KB     | ##################################### | 100% 
et_xmlfile-1.1.0     | 10 KB     | ##################################### | 100% 
dask-core-2021.8.1   | 715 KB    | ##################################### | 100% 
zeromq-4.3.4         | 331 KB    | ##################################### | 100% 
snappy-1.1.8         | 40 KB     | ##################################### | 100% 
sqlalchemy-1.4.22    | 1.8 MB    | ##################################### | 100% 
pygments-2.10.0      | 725 KB    | ##################################### | 100% 
nest-asyncio-1.5.1   | 10 KB     | ##################################### | 100% 
joblib-1.0.1         | 208 KB    | ##################################### | 100% 
traitlets-5.0.5      | 81 KB     | ##################################### | 100% 
mpmath-1.2.1         | 766 KB    | ##################################### | 100% 
lz4-c-1.9.3          | 185 KB    | ##################################### | 100% 
pillow-8.3.1         | 638 KB    | ##################################### | 100% 
ipython-7.26.0       | 994 KB    | ##################################### | 100% 
python-dateutil-2.8. | 233 KB    | ##################################### | 100% 
spyder-4.2.5         | 5.4 MB    | ##################################### | 100% 
pickleshare-0.7.5    | 13 KB     | ##################################### | 100% 
locket-0.2.1         | 10 KB     | ##################################### | 100% 
ld_impl_linux-64-2.3 | 586 KB    | ##################################### | 100% 
zope.interface-5.4.0 | 301 KB    | ##################################### | 100% 
textdistance-4.2.1   | 29 KB     | ##################################### | 100% 
numpy-base-1.20.3    | 4.5 MB    | ##################################### | 100% 
click-8.0.1          | 79 KB     | ##################################### | 100% 
sphinxcontrib-appleh | 29 KB     | ##################################### | 100% 
snowballstemmer-2.1. | 62 KB     | ##################################### | 100% 
zict-2.0.0           | 10 KB     | ##################################### | 100% 
py-1.10.0            | 76 KB     | ##################################### | 100% 
pycodestyle-2.6.0    | 38 KB     | ##################################### | 100% 
toolz-0.11.1         | 46 KB     | ##################################### | 100% 
brotlipy-0.7.0       | 323 KB    | ##################################### | 100% 
matplotlib-inline-0. | 12 KB     | ##################################### | 100% 
nbclient-0.5.3       | 62 KB     | ##################################### | 100% 
libxml2-2.9.12       | 1.2 MB    | ##################################### | 100% 
jeepney-0.7.1        | 38 KB     | ##################################### | 100% 
sympy-1.8            | 9.1 MB    | ##################################### | 100% 
certifi-2021.5.30    | 138 KB    | ##################################### | 100% 
conda-pack-0.6.0     | 29 KB     | ##################################### | 100% 
filelock-3.0.12      | 10 KB     | ##################################### | 100% 
mkl-2021.3.0         | 141.2 MB  | ##################################### | 100% 
ptyprocess-0.7.0     | 17 KB     | ##################################### | 100% 
jupyter_core-4.7.1   | 68 KB     | ##################################### | 100% 
jinja2-3.0.1         | 110 KB    | ##################################### | 100% 
attrs-21.2.0         | 46 KB     | ##################################### | 100% 
intel-openmp-2021.3. | 1.4 MB    | ##################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: | 

    Installed package of scikit-learn can be accelerated using scikit-learn-intelex.
    More details are available here: https://intel.github.io/scikit-learn-intelex

    For example:

        $ conda install scikit-learn-intelex
        $ python -m sklearnex my_application.py

    

done
(base) [email protected]:~/Descargas$ conda create --name my_env
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/soloelectronicos/anaconda3/envs/my_env



Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate my_env
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) [email protected]:~/Descargas$ conda activate my_env
(my_env) [email protected]:~/Descargas$ ls
Anaconda3-2020.11-Linux-x86_64.sh  Anaconda3-2021.05-Linux-x86_64.sh
(my_env) [email protected]:~/Descargas$ sudo conda activate my_env
[sudo] contraseña para soloelectronicos: 
sudo: conda: orden no encontrada
(my_env) [email protected]:~/Descargas$ conda activate my_env

Desinstalación de Anaconda

Para desinstalar Anaconda de su sistema, deberá instalar la utilidad de eliminación de Anaconda en su sistema.

Primero, instale la utilidad anaconda-clean con el siguiente comando:

conda instalar anaconda-clean

Una vez completada la instalación, elimine Anaconda con el siguiente comando:

anaconda-clean --sí

Debería obtener el siguiente resultado:

Directorio de respaldo: /root/.anaconda_backup/2021-01-07T084617