j3nnn1 / deepLCourse

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Python con probabilidad y estadística.

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levantar server jupyter fuera de pycharm

(base) [j3nnn1@itup ~]$ jupyter notebook [I 16:31:02.193 NotebookApp] JupyterLab extension loaded from /home/j3nnn1/anaconda3/lib/python3.8/site-packages/jupyterlab [I 16:31:02.193 NotebookApp] JupyterLab application directory is /home/j3nnn1/anaconda3/share/jupyter/lab [I 16:31:02.197 NotebookApp] Serving notebooks from local directory: /home/j3nnn1 [I 16:31:02.197 NotebookApp] Jupyter Notebook 6.1.4 is running at: [I 16:31:02.197 NotebookApp] http://localhost:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29 [I 16:31:02.197 NotebookApp] or http://127.0.0.1:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29 [I 16:31:02.197 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 16:31:02.268 NotebookApp]

To access the notebook, open this file in a browser:
    file:///home/j3nnn1/.local/share/jupyter/runtime/nbserver-43947-open.html
Or copy and paste one of these URLs:
    http://localhost:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29
 or http://127.0.0.1:8888/?token=79725443d82b8c3c30dbcf1cba7b48af356997f7f3fa4d29

[1]+ Done pycharm Segmentation fault (core dumped)

#levantar el ambiente para la diplo

estoy usando conda con el namespace PEP. creado de la siguiente forma: conda create -n pep python=3

$ conda activate pep

listar las librerias

$ conda list

listar environments

(pep) [j3nnn1@itup regresion-logistica-Keras]$ conda env list

conda environments:

base /home/j3nnn1/anaconda3 curso /home/j3nnn1/anaconda3/envs/curso pep * /home/j3nnn1/anaconda3/envs/pep /home/j3nnn1/pkg/anaconda/pkg/anaconda/opt/anaconda

crear un nuevo ambiente

conda create -n <name_environment> python=3

primer Curso resumen levantar un ambiente.

Python con probabilidad y estadística.

conda info --envs
conda activate pep_intro
conda install pandas
conda list # listar las librerias de este environment.
pip install jupyterlab matplotlib scikit-learn
whereis jupyter-lab 
conda deactivate
#anaconda-navigator& # GUI

Segundo curso resumen levantando el ambiente que utilizamos.

Tercer curso.

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License:GNU General Public License v3.0


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