![]() You can customize this new environment by following the Python: Create Environment flow, selecting your preferred interpreter, and specifying any dependency files for installation. venv will be deleted, allowing you to recreate a new environment named. ![]() If you opt-in to recreate the environment, your current. venv folder, the Python: Create Environment command has been updated to provide you with options to either recreate or use the existing environment. When working within a workspace that already contains a. “Recreate” or “Use Existing” options when using Python: Create Environment with existing. If you’re interested, you can check the full list of improvements in our changelogs for the Python, Jupyter, and Pylance extensions.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |