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Connecting to kernel for python 3.10.0 failed

See original GitHub issue

Environment data

VS Code version: 1.64.0
Jupyter Extension version (available under the Extensions sidebar): v2022.1.1001775990
Python Extension version (available under the Extensions sidebar): v2022.0.1786462952
OS (Windows | Mac | Linux distro) and version: Mac
Python and/or Anaconda version: 3.10.0
Type of virtual environment used (N/A | venv | virtualenv | conda | …): conda 4.11.0
Jupyter server running: Local

Expected behaviour

When executing a jupyter notebook python cell, the cell should be executed

Actual behaviour

Connecting to kernel (Python 3.10.0): waiting for jupyter server

This was fine for Jupyter extension v2022.1.1001614873. This is also fine for python 3.9. Only failed with python 3.10 and last jupyter extension v2022.1.1001775990

Steps to reproduce:

Create an empty Jupyter notebook. Type some python code in a cell and try to execute it.

[NOTE: Self-contained, minimal reproducing code samples are extremely helpful and will expedite addressing your issue]

Logs

Output for Jupyter in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Jupyter)

XXX

Issue Analytics

State:
Created 2 years ago
Comments:7 (3 by maintainers)

Top GitHub Comments

1reaction

vliegeoiscommented, Feb 9, 2022

Hi again.

I have just installed python with conda but using condo-forge channel which install version 3.10.2 instead of 3.10.0.

Now, everything is fine. So I don’t really understand what is going on. Is it due to the difference of python version or in the additional packages version that are installed with condo-forge instead of the default channel.

So you can consider the issue closed Regards

Vincent

0reactions

vliegeoiscommented, Feb 9, 2022

Yes I’m using latest version if conda, namely 4.11.0. For me, this is not related to the issue you have mentioned. The issue must be related somehow to conda but everything is fine if I revert to the previous version of jupyter extension so something must of change in the last release that block the connection to the jupyter server installed using conda. Regards Vincent

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