Python extension for Visual Studio Code
A Visual Studio Code extension with rich support for the Python language (for all actively supported versions of the language: >=3.7), including features such as IntelliSense (Pylance), linting, debugging, code navigation, code formatting, refactoring, variable explorer, test explorer, and more!
The Python extension does offer some support when running on vscode.dev (which includes github.dev). This includes partial IntelliSense for open files in the editor.
The Python extension will automatically install the Pylance and Jupyter extensions to give you the best experience when working with Python files and Jupyter notebooks. However, Pylance is an optional dependency, meaning the Python extension will remain fully functional if it fails to be installed. You can also uninstall it at the expense of some features if you’re using a different language server.
Set up your environment
Select your Python interpreter by clicking on the status bar
Configure the debugger through the Debug Activity Bar
Configure tests by running the
Configure Tests command
Jupyter Notebook quick start
The Python extension offers support for Jupyter notebooks via the Jupyter extension to provide you a great Python notebook experience in VS Code.
For more information you can:
Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:
Python: Select Interpreter
|Switch between Python interpreters, versions, and environments.
Python: Start REPL
|Start an interactive Python REPL using the selected interpreter in the VS Code terminal.
Python: Run Python File in Terminal
|Runs the active Python file in the VS Code terminal. You can also run a Python file by right-clicking on the file and selecting
Run Python File in Terminal.
Python: Select Linter
|Switch from Pylint to Flake8 or other supported linters.
|Formats code using the provided formatter in the
Python: Configure Tests
|Select a test framework and configure it to display the Test Explorer.
To see all available Python commands, open the Command Palette and type
Python. For Jupyter extension commands, just type
Learn more about the rich features of the Python extension:
IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more
Linting: Get additional code analysis with Pylint, Flake8 and more
Code formatting: Format your code with black, autopep or yapf
Debugging: Debug your Python scripts, web apps, remote or multi-threaded processes
Testing: Run and debug tests through the Test Explorer with unittest or pytest.
Jupyter Notebooks: Create and edit Jupyter Notebooks, add and run code cells, render plots, visualize variables through the variable explorer, visualize dataframes with the data viewer, and more
Environments: Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments
Refactoring: Restructure your Python code with variable extraction and method extraction. Additionally, there is componentized support to enable additional refactoring, such as import sorting, through extensions including isort and Ruff.
The extension is available in multiple languages:
Questions, issues, feature requests, and contributions
- If you have a question about how to accomplish something with the extension, please ask on Stack Overflow
- If you come across a problem with the extension, please file an issue
- Contributions are always welcome! Please see our contributing guide for more details
- Any and all feedback is appreciated and welcome!
- If someone has already filed an issue that encompasses your feedback, please leave a 👍/👎 reaction on the issue
- Otherwise please start a new discussion
- If you're interested in the development of the extension, you can read about our development process
Data and telemetry
The Microsoft Python Extension for Visual Studio Code collects usage
data and sends it to Microsoft to help improve our products and
services. Read our
privacy statement to
learn more. This extension respects the
setting which you can learn more about at