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 system with a variety of Python interpreters.

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

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

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.

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.

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 information about editing in Visual Studio Code, see Basic Editing and Code Navigation.

Formatting Python in VS Code. 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 more visually organized and comprehensible. You can view an example on the autopep8 page. Keep in mind, formatting doesn't affect ...

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.

Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files. This topic covers the support offered through Python code files and demonstrates how to: Work with Jupyter-like code cells; Run code in the Python Interactive Window; View, inspect, and filter variables using the Variables Explorer and ...