[Python] How to use virtual environments in Jupyter Notebook in VS Code

I use Jupyter extension (v2024.10.0), Python (v2024.20.0), and Pylance (v2024.12.1) with default interpreter path, VS Code 1.95.3 on MacOS Sonoma 14.6. I want to debug Python code interactively in jupyter notebooks using the same virtual environment I use when running modules via Terminal.

e.g. I have a project with these files:

• test.ipynb
• script.py

I run my script like this:

$ source ~/envs/my-project-env/bin/activate
(my-project-env) $ python script.py


I would like to use my-project-env environment in the Jupyter notebook. I click Select Kernel top right, but it doesn't appear in the drop-down.



Next I try the tip here and use ipython kernel install --user --name=my-project-env. It creates the kernel, and I can select it from the Jupyter Kernel... list instead, but it uses the wrong Python path, pointing to my global default interpreter instead.

Next I try this tip, added my python interpreter by adding my executable's path to the list of Python Interpreters. This works great for creating a dedicated terminal for running the script.py. No need for manually sourcing my environment anymore:



But the kernel is still unavailable for selection in Jupyter Notebook "Select Kernel" list. How can I run the Jupyter Notebook and get the same code auto-completion using the same environment as my script?

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