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 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.

There are a few ways to run Python code in VS Code. To run the Python script you have open on the editor, select the Run Python File in Terminal play button in the top-right of the editor.

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 …

Once the appropriate environment is activated, you can create and run Jupyter-like code cells, connect to a remote Jupyter server for running code cells, and export Python files as Jupyter …

If you're looking to debug a web application using Flask, Django or FastAPI, the Python Debugger extension provides dynamically created debug configurations based on your project structure …

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 …

Once the appropriate environment is activated, you can create and open a Jupyter Notebook, connect to a remote Jupyter server for running code cells, and export a Jupyter Notebook as a …

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 Python's built-in unittest …

We are happy to announce experimental support for running Python code on the Web. To try it out, install the latest pre-release version of the Experimental - Python for the Web extension …