The Python extension tries to find and then select what it deems the best environment for the workspace. If you would prefer to select a specific environment, use the Python: Select Interpreter …

If you do not have any Jupyter kernel or Python environment on your machine, VS Code can help you set up: go to the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), select Python: Create …

Select the configuration named Launch Program using the Configuration dropdown in the Run and Debug view. The list of available configurations matches those in the launch.json file.

A remote development environment is different from your developer workstation. It can be a remote machine accessible via SSH, a virtual machine running on your developer workstation, or a …

To select an environment, use the Python: Select Interpreter command from the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)). Once the appropriate environment is activated, you can …

Ensure your new environment is selected by using the Python: Select Interpreter command from the Command Palette. Note: For additional information about virtual environments, or if you run into an …

Any VS Code operations you perform in this window will be executed in the WSL environment, everything from editing and file operations, to debugging, using terminals, and more.

Configure your default profile by running the Terminal: Select Default Profile command, which is also accessible via the new terminal dropdown. The default terminal profile shell defaults to $SHELL on …

Start a debugging session with the F5 key or select Run and Debug in the Run and Debug view (workbench.view.debug). For more complex debugging scenarios like attaching to a running process, …

Create a new workspace, copy your .vscode JSON files to it, adjust the necessary settings for the new workspace path, program name, and so on, and start coding!