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*[Follow our Python tutorial](https://code.visualstudio.com/docs/python/python-tutorial#_prerequisites) with step-by-step instructions for building a simple app.
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* Check out the [Python documentation on the VS Code site](https://code.visualstudio.com/docs/languages/python) for general information about using the extension.
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* Check out the [Jupyter Notebook documentation on the VS Code site](https://code.visualstudio.com/docs/python/jupyter-support) for information about using Jupyter Notebooks in VS Code.
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## Useful commands
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Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:
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*[Linting](https://code.visualstudio.com/docs/python/linting): Get additional code analysis with Pylint, Flake8 and more
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*[Code formatting](https://code.visualstudio.com/docs/python/editing#_formatting): Format your code with black, autopep or yapf
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*[Debugging](https://code.visualstudio.com/docs/python/debugging): Debug your Python scripts, web apps, remote or multi-threaded processes
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*[Debugging](https://code.visualstudio.com/docs/python/debugging): Debug your Python scripts, web apps, remote or multi-threaded processes
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*[Testing](https://code.visualstudio.com/docs/python/unit-testing): Run and debug tests through the Test Explorer with unittest, pytest or nose
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*[Jupyter Notebooks](https://code.visualstudio.com/docs/python/jupyter-support): Define and run code cells, render plots, visualize variables through the variable explorer and more
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*[Jupyter Notebooks](https://code.visualstudio.com/docs/python/jupyter-support): 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
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*[Environments](https://code.visualstudio.com/docs/python/environments): Automatically activate and switch between virtualenv, venv, pipenv, conda and pyenv environments
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