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 …

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!

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

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 …

Whether you are experimenting with smaller lines of Python code in the REPL or ready to run a Python script, the Python extension offers multiple ways to run your code.

The Python Debugger extension is automatically installed along with the Python extension for VS Code. It offers debugging features with debugpy for several types of Python applications, …

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 …

Descriptions of kernel selection options and tutorials on managing different types of kernels when working with Jupyter Notebooks in Visual Studio Code.

The Python Jupyter Notebook Editor window has full IntelliSense – code completions, member lists, quick info for methods, and parameter hints. You can be just as productive typing in the …

Python Django tutorial demonstrating IntelliSense, code navigation, and debugging for both code and templates in Visual Studio Code, the best Python IDE.