GitHub Copilot provides suggestions for languages beyond Python and a wide variety of frameworks, including JavaScript, TypeScript, Ruby, Go, C# and C++. You can use the GitHub Copilot extension in VS Code to generate code, or to learn from the code it generates. GitHub Copilot is an AI-powered code completion tool that helps you write code faster and smarter.

Hovering over identifiers will show more information about them. You can also trigger completions at any time with ⌃Space (Windows, Linux Ctrl+Space). IntelliSense quickly shows methods, class members, and documentation as you type. IntelliSense is a general term for a number of features, including intelligent code completion (in-context method and variable suggestions) across all your files and for built-in and third-party modules. The Python extension supports code completion and IntelliSense using the currently selected interpreter. The command opens the Python Terminal if necessary you can also open the interactive REPL environment directly using the Python: Start REPL command that activates a terminal with the currently selected interpreter and then runs the Python REPL.įor a more specific walkthrough and other ways of running code, see the run code tutorial. The Python extension automatically removes indents based on the first non-empty line of the selection, shifting all other lines left as needed. If that terminal is still running the REPL, you should exit the REPL ( exit()) or switch to a different terminal before running a Python file. The same terminal is also used for Run Python File in Terminal. The same terminal will be used every time you run a selection or a line in the terminal/REPL, until that terminal is closed. An identical Run Selection/Line in Python Terminal command is available on the context menu for a selection in the editor. If there isn't a selection, the line with your cursor will be run in the Python Terminal. You can also run individual lines or a selection of code with the Python: Run Selection/Line in Python Terminal command ( Shift+Enter). 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. Note: To help get you started with Python development, you can use the Python profile template that includes useful extensions, settings, and Python code snippets. 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 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.

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