If you wish for this extension to automatically install virtual environments for you based on detection of for example Pipfile or requirements.txt (this can be configured), you can enable it in the settings by the property toInstall.

Automatic Installation of Virtual Environments This means that for the best results, you should avoid having this file checked into version control since it's expected to change frequently and might cause conflicts with other people. vscode/settings.json in the root workspace directory. Please note that this extension operates by changing the python.pythonPath property in. You can also specify a specific path for pipenv if necessary. In order to use pipenv for detecting environments, you must first enable it in the settings for this extension. It effectively solves the issue of intellisense not functioning in a multi-project repository with separate virtual environments. Features Virtual Environment Selectionīy opening up a Python script, this extension will figure out the best suitable virtual environment to use based on where the file is located. You can find it in the VS Code marketplace here. This is useful for workspaces that contain more than one project with their own virtual environment. This extension will automatically set the Python virtual environment based on the file that you are currently editing.

Anyone who wishes to continue on this project is free to do so under the current licence. WARNING: This package has been archived due to not having time to support it after the official Python extension to VS Code released an update that removed support for changing the venv path from a local settings file.

Visual studio code python virtualenv