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! …

The tutorial guides you through installing Python and using the extension. You must install a Python interpreter yourself separately from the extension. For a quick install, use Python from …

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 …

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 …

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 debugging in VS Code. The Python extension supports debugging through the Python Debugger extension for several types of Python applications. For a short walkthrough of basic …

Run Python code. The Python extension offers various ways to run Python code without extra configuration. Select the Run Python File in Terminal play button in the top-right of the editor.

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 …

Python testing in Visual Studio Code. 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 …