Allow users to specify installation location when creating a new Python environment for Jupyter

[CinrayZ]

🚀 Feature Request

Currently, when a user selects "Create Python Environment" inside the Jupyter kernel selection UI, they can only create the environment in the workspace root directory. However, sometimes users want to create the environment in a custom directory.

💡 Proposed Solution

• After selecting "Create Python Environment", allow users to specify a directory before proceeding with venv or conda.
• The default can still be the workspace root, but users should have the flexibility to change it.

🤔 Why is this needed?

• Some projects require virtual environments in custom locations.
• Prevent workspace clutter.
• Aligns with flexibility offered in the VS Code Python extension.

📌 Steps to Reproduce

1. Open a Jupyter notebook in VS Code.
2. Click "Select Kernel" > "Select Another Kernel".

3. Choose "Python Environment" > "Create Python Environment".

5. Currently, VS Code forces the environment to be created in the workspace root.

🔄

• Manually creating a venv/conda environment and selecting it later (not user-friendly and currently it can not be automatically detected).

[DonJayamanne]

Create env feature is exposed via Python extension, hence transferring this

[github-actions]

Thanks for the feature request! We are going to give the community 60 days from when this issue was created to provide 7 👍 upvotes on the opening comment to gauge general interest in this idea. If there's enough upvotes then we will consider this feature request in our future planning. If there's unfortunately not enough upvotes then we will close this issue.