![]() 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 moreĮnvironments: Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments Testing: Run and debug tests through the Test Explorer with unittest or pytest. Linting: Get additional code analysis with Pylint, Flake8 and moreĬode formatting: Format your code with black, autopep or yapfĭebugging: Debug your Python scripts, web apps, remote or multi-threaded processes IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more Learn more about the rich features of the Python extension: For Jupyter extension commands, just type Jupyter. ![]() To see all available Python commands, open the Command Palette and type Python. Select a test framework and configure it to display the Test Explorer. Switch from Pylint to Flake8 or other supported linters.įormats code using the provided formatter in the settings.json file. You can also run a Python file by right-clicking on the file and selecting Run Python File in Terminal. Runs the active Python file in the VS Code terminal. Start an interactive Python REPL using the selected interpreter in the VS Code terminal. Switch between Python interpreters, versions, and environments. Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands: Command Check out the Jupyter Notebook documentation on the VS Code site for information about using Jupyter Notebooks in VS Code. ![]()
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