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! By using the Python extension, you turn VS Code into a great, lightweight Python editor.

Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters.

The Python extension makes Visual Studio Code an excellent Python editor, works on any operating system, and is usable with a variety of Python interpreters. Get started by installing: VS Code

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: Create Environment command, and select it.

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. Interactively running Python code

Editing Python in Visual Studio Code 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.

The Python extension supports debugging through the Python Debugger extension for several types of Python applications. For a short walkthrough of basic debugging, see Tutorial - Configure and run the debugger .

Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, and through Python code files .

Better: The TypeScript, JavaScript, and Python experiences are all powered by language services that run natively in the browser. With these programming languages, you'll get the " Good " experience plus rich single file completions, semantic highlighting, syntax errors, and more.

Tests can be configured anytime by using the Python: Configure Tests command from the Command Palette or by setting either python.testing.unittestEnabled or python.testing.pytestEnabled in the Settings editor or settings.json file as described in the VS Code Settings documentation.