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 …

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 …

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 …

Formatting makes source code easier to read by human beings. By enforcing particular rules and conventions such as line spacing, indents, and spacing around operators, the code becomes …

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

Getting Started with Python in VS Code - Learn how to edit, run, and debug code in VS Code. Virtual Environments and Packages (Python.org) - Learn more about virtual environments and …

When you've activated an environment with Jupyter installed, you can open a Jupyter notebook file (.ipynb) in VS Code and then convert it to Python code. Once you've converted the file, you …

Linting highlights semantic and stylistic problems in your Python source code, which often helps you identify and correct subtle programming errors or coding practices that can lead to errors.