In this tutorial, you will learn how to use Python 3 in Visual Studio Code to create, run, and debug a Python "Roll a dice!" application, work with virtual environments, use packages, and more!

Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any operating …

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

For more information about editing in Visual Studio Code, see Basic Editing and Code Navigation. In this overview, we will describe the specific editing features provided by the Python extension, including …

To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the Python: …

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 …

This tutorial demonstrates using Visual Studio Code and the Microsoft Python extension with common data science libraries to explore a basic data science scenario.

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-in unittest framework and pytest.

Python Flask tutorial showing IntelliSense, debugging, and code navigation support in Visual Studio Code, the best Python IDE.

When you open a notebook file, Visual Studio Code will open it in the Notebook Editor automatically. Use the convert icon on the toolbar to convert the Notebook (.ipynb) file to a Python file (.py).