Ayman Ali
Ayman Ali

Reputation: 1

Hi guys, I am new to jupyter, I used Anaconda Prompt to run jupyter-notebook, but the notebook failed to connect to the kernel

The screenshot of the error I got in the prompt

(base) C:\Users\Ayman>cd desktop

(base) C:\Users\Ayman\Desktop>cd ml

(base) C:\Users\Ayman\Desktop\ML>conda activate ./my_env

(C:\Users\Ayman\Desktop\ML\my_env) C:\Users\Ayman\Desktop\ML>jupyter-notebook [I 2021-11-24 09:56:06.789 LabApp] JupyterLab extension loaded from C:\Users\Ayman\Desktop\ML\my_env\lib\site-packages\jupyterlab [I 2021-11-24 09:56:06.789 LabApp] JupyterLab application directory is C:\Users\Ayman\Desktop\ML\my_env\share\jupyter\lab [I 09:56:06.805 NotebookApp] Serving notebooks from local directory: C:\Users\Ayman\Desktop\ML [I 09:56:06.805 NotebookApp] Jupyter Notebook 6.4.6 is running at: [I 09:56:06.805 NotebookApp] http://localhost:8888/?token=724d01899aa45347a06555cc200f7ebdf9c9e843c526ad7d [I 09:56:06.805 NotebookApp] or http://127.0.0.1:8888/?token=724d01899aa45347a06555cc200f7ebdf9c9e843c526ad7d [I 09:56:06.805 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 09:56:06.934 NotebookApp]

To access the notebook, open this file in a browser:
    file:///C:/Users/Ayman/AppData/Roaming/jupyter/runtime/nbserver-12888-open.html
Or copy and paste one of these URLs:
    http://localhost:8888/?token=724d01899aa45347a06555cc200f7ebdf9c9e843c526ad7d
 or http://127.0.0.1:8888/?token=724d01899aa45347a06555cc200f7ebdf9c9e843c526ad7d

[I 09:56:11.958 NotebookApp] Creating new notebook in Bad address (bundled\zeromq\src\epoll.cpp:100) [I 09:56:14.576 NotebookApp] Kernel started: 76e00e69-8ea6-47da-900c-b4c4146e8c34, name: python3

(C:\Users\Ayman\Desktop\ML\my_env) C:\Users\Ayman\Desktop\ML>Bad address (bundled\zeromq\src\epoll.cpp:100) Bad address (bundled\zeromq\src\epoll.cpp:100)

Upvotes: 0

Views: 397

Answers (1)

greetal
greetal

Reputation: 1537

Try this way creating a conda environment using:

conda create -n my_env python=3

Activate the environment using:

source activate my_env

Install the ipykernel using:

conda install ipykernel

ipython kernel install --name my_env --user

Now open the jupyter and select the "my_env" from Kernel option. ( path : jupyter -> kernel -> change kernel -> my_env )

Upvotes: 0

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