Setting Up a Virtual Environment for Python in Visual Studio Code
In Visual Studio Code, virtual environments are often not visible when selecting a Python interpreter. Despite creating a venv folder in the project directory, the virtual interpreter remains hidden.
Cause:
Visual Studio Code may not detect the virtual environment because it is looking within the current working directory for available interpreters.
Solution 1: Using Code .
Solution 2: Updating Workspace Settings
Add the following to the settings.json file:
Note:
If using an older version of Visual Studio Code (prior to version 1.43), use "python.pythonPath" instead of "python.defaultInterpreterPath".
By following either solution, the virtual environment will be visible in Visual Studio Code and available for selection as the Python interpreter.
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