
Getting Started with Python in VS Code - Visual Studio Code
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!
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.
Quick Start Guide for Python in VS Code - Visual Studio Code
A quick start guide to get you up and coding with the Python extension in Visual Studio Code.
Python in Visual Studio Code
To run the active Python file, click the Run Python File play button in the top-right side of the editor. You can also run individual lines or a selection of code with the Python: Run …
Python environments in VS Code - Visual Studio 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 …
Python debugging in VS Code - Visual Studio Code
Two common options are to use the Python File configuration to run the currently open Python file or to use the Attach using Process ID configuration to attach the debugger to a process that is …
Editing Python 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 …
Debug Python within a container - Visual Studio Code
How to configure and troubleshoot debugging of Python apps running in a container, using Visual Studio Code.
Python Interactive window - Visual Studio Code
Once you've converted the file, you can run the code as you would with any other Python file and also use the VS Code debugger. Opening and debugging notebooks in VS Code is a …
Tutorial: Get started with Visual Studio Code
VS Code has built-in support for running and debugging Node.js applications. In this tutorial, you use the Python extension you installed in the previous step to debug a Python program.