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! By using the Python extension , you turn VS Code into a great, lightweight Python editor.

Quick Start Guide for Python in VS Code. The Python extension makes Visual Studio Code an excellent Python editor, works on any operating system, and is usable with a variety of Python interpreters. Get started by installing: VS Code; A Python Interpreter (any actively supported Python version) Python extension from the VS Code Marketplace

Python Hello World tutorial - Get started with Python in VS Code. Editing Python - Learn about auto-completion, formatting, and refactoring for Python. Basic Editing - Learn about the powerful VS Code editor.

Data Science in VS Code tutorial. 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 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, including scripts, web apps, remote processes and more.

In this tutorial, we walk you through setting up Visual Studio Code and give an overview of the basic features. Here's the next video we recommend: Code Editing in Visual Studio Code Pick another video from the list: Introductory Videos

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 packages. Installing Python Modules (Python.org) - Learn how to install Python modules.

Running Python code in Visual Studio Code. 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. Interactively running Python code

Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, and through Python code files .

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