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1.96.0
2024.11.0
Visual Studio Code (1.96.0, undefined, desktop) Jupyter Extension Version: 2024.11.0. Python Extension Version: 2024.22.0. Pylance Extension Version: 2024.12.1. Platform: darwin (arm64). Temp Storage folder ~/Library/Application Support/Code/User/globalStorage/ms-toolsai.jupyter/version-2024.11.0 Workspace folder ~/work/vscode-jupyter-json, Home = /Users/vesa.vilhonen 12:19:00.403 [info] Starting Kernel (Python Path: ~/.venv/bin/python, Venv, 3.13.0) for '~/work/vscode-jupyter-json/problem.ipynb' (disableUI=true) 12:19:00.475 [info] Process Execution: ~/.venv/bin/python -m pip list 12:19:00.476 [info] Process Execution: ~/.venv/bin/python -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)" 12:19:00.477 [info] Process Execution: ~/.venv/bin/python -m ipykernel_launcher --f=/Users/~/Library/Jupyter/runtime/kernel-v376d4969e47eafaac7a1a841ee24f71589557f6bc.json > cwd: //Users/~/work/vscode-jupyter-json 12:19:00.932 [info] Kernel successfully started 12:19:00.934 [info] Process Execution: ~/.venv/bin/python /Users/~/.vscode/extensions/ms-toolsai.jupyter-2024.11.0-darwin-arm64/pythonFiles/printJupyterDataDir.py
Python 3.13.0 but happens with every version
No response
Local
The text was updated successfully, but these errors were encountered:
Please can you file a single issue per problem, as that allows us to deal with one problem per issue,
Eg if we fix one problem then we can close that issues allowing people to also work on different issues at a time
Sorry, something went wrong.
Oops, should I remove this and create the issues separate? I see somebody got assigned to this already
Yes please, that’s fine if our issue assigned
rebornix
amunger
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Applies To
What happened?
VS Code Version
1.96.0
Jupyter Extension Version
2024.11.0
Jupyter logs
Coding Language and Runtime Version
Python 3.13.0 but happens with every version
Language Extension Version (if applicable)
No response
Anaconda Version (if applicable)
No response
Running Jupyter locally or remotely?
Local
The text was updated successfully, but these errors were encountered: