During the course of this tutorial, you learned how to create a Python project, create a virtual environment, run and debug your Python code, and install Python packages.

Learn about Visual Studio Code as a Python IDE (code completion, debugging, linting).

A quick start guide to get you up and coding with the Python extension in Visual Studio Code.

The VS Code Native REPL for Python builds upon the classic Python REPL and provides additional features, such as Intellisense and syntax highlighting to make your Python development experience …

You can then either enter the full path of the Python interpreter directly in the text box (for example, ".venv/Scripts/python.exe"), or you can select the Find... button and browse your file system to find …

Details on configuring the Visual Studio Code debugger for different Python applications.

Editing Python in Visual Studio Code Visual Studio Code is a powerful editing tool for Python source code. The editor includes various features to help you be productive when writing code. For more …

To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Jupyter package.

Python testing in Visual Studio Code The Python extension builds on the built-in testing features in VS Code and provides test discovery, test coverage, and running and debugging tests for Python's built …

Develop, build, and debug a Python app in a container, using Visual Studio Code.