To run the active Python file, click the Run Python File in Terminal play button in the top-right side of the editor. The Python extension then provides shortcuts to run Python code using the currently selected interpreter ( Python: Select Interpreter in the Command Palette).

To experience Python, create a file (using the File Explorer) named hello.py and paste in the following code: print ( 'Hello World' ) To learn more, go to Developing in WSL or try the Working in WSL tutorial. When coupled with the WSL extension, you get full VS Code editing and debugging support while running in the context of WSL. You can run Linux distributions on Windows and Python is often already installed. Windows Subsystem for Linux: If you are on Windows, WSL is a great way to do Python development. Learn more in the Python Settings reference.

You can configure the Python extension through settings. If VS Code doesn't automatically locate the interpreter you're looking for, refer to Environments - Manually specify an interpreter. Once you have a version of Python installed, select it using the Python: Select Interpreter command. For a quick install, use Python from and install the extension from the VS Code Marketplace. You must install a Python interpreter yourself separately from the extension. The tutorial guides you through installing Python and using the extension.

Python Hello World Tutorial Install Python and the Python extension For a walkthrough of editing, running, and debugging code, use the button below. This article provides only an overview of the different capabilities of the Python extension for VS Code. It leverages all of VS Code's power to provide auto complete and IntelliSense, linting, debugging, and unit testing, along with the ability to easily switch between Python environments, including virtual and conda environments. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters. Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive.

Configure IntelliSense for cross-compiling.

Install pip visual studio code