Jupyter Notebook 内核一直很忙

Question

I have instaled anaconda and python works fine in Sypder , IPython etc . However I am not able to run python notebook.

Kernel gets created , it also connects but it shows the dark circle busy symbol throughout . There is no problem with the firewall or antivirus . I have tried by disabling both .

I am also not able to open python terminal from notebook there is some powershell error.

Can anyone suggest something ?

Edit 1 : Added the snapshot and the log

Log Anaconda Prompt :

(base) C:\Users\Project>jupyter notebook
[I 13:11:26.561 NotebookApp] JupyterLab extension loaded from C:\Users\Project\A
naconda3\lib\site-packages\jupyterlab
[I 13:11:26.561 NotebookApp] JupyterLab application directory is C:\Users\Projec
t\Anaconda3\share\jupyter\lab
[I 13:11:26.569 NotebookApp] Serving notebooks from local directory: C:\Users\Pr
oject
[I 13:11:26.570 NotebookApp] The Jupyter Notebook is running at:
[I 13:11:26.570 NotebookApp] http://localhost:8888/?token=28e7406ee648d631648f9b
8c53e1f3027f5eb30516ccf15f
[I 13:11:26.571 NotebookApp] Use Control-C to stop this server and shut down all
 kernels (twice to skip confirmation).
[C 13:11:26.768 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///C:/Users/Project/AppData/Roaming/jupyter/runtime/nbserver-3064-o
pen.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=28e7406ee648d631648f9b8c53e1f3027f5eb30516c
cf15f
[I 13:11:56.237 NotebookApp] Creating new notebook in
[I 13:12:02.401 NotebookApp] Kernel started: 55d8fb5e-2fe7-4d4b-a1d3-a11b0b7e7e7
d
[I 13:12:05.242 NotebookApp] Adapting to protocol v5.1 for kernel 55d8fb5e-2fe7-
4d4b-a1d3-a11b0b7e7e7d

And the image where kernel is always busy

kernel busy

Answer 1

I was also getting the same issue, I tried a lot of different stuff but nothing seemed to help me out. Ultimately, a Kernel Restart instead of Kernel Interrupt helped me out! The kernel restarted and I was able to run the kernels as usual.

I think this is just a workaround if someone finds the real solution please do let us know!

Answer 2

I has the same issue because I started it as below

jupyter notebook --gateway-url= http://my-domain.com:8888

but I remove geteway-url param then the issue was gone

I know that you didn't make this very same mistake like me but I hope this gives you some clues