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Visual Studio Code supports working with Jupyter Notebooks natively, and through Python code files. This topic covers the native support available for Jupyter Notebooks and demonstrates how to: Create, open, and save Jupyter Notebooks. Work with Jupyter code cells. View, inspect, and filter variables using the Variable Explorer and Data Viewer.
The Python and Jupyter extensions work together to give you a great Notebook experience in VS Code, providing you the ability to directly view and modify code cells with IntelliSense support, as well as run and debug them. You can also convert and open the notebook as a Python code file through the Jupyter: Export to Python Script command.
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Nov 1, 2024 · The November 2024 release of the Python and Jupyter extensions for Visual Studio Code are now available. This month's updates include docstring template generation with Pylance, Fold/Unfold All Docstrings commands, a variable view with the Native REPL and more!
To see all available Python commands, open the Command Palette and type Python. For Jupyter extension commands, just type Jupyter. Feature details. Learn more about the rich features of the Python extension: IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more
Nov 11, 2020 · To work with Python Jupyter Notebooks in VS Code, simply install or update the Python extension. There’s no need to install the Jupyter extension separately. For those who are using the VS Code Insiders build, you may notice that the new preview notebooks experience that was first introduced in July has now been turned on by default.
Nov 11, 2020 · Jupyter Extension for Visual Studio Code. A Visual Studio Code extension that provides basic notebook support for language kernels that are supported in Jupyter Notebooks today, and allows any Python environment to be used as a Jupyter kernel.
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Quick Start. Step 1. Install VS Code. Step 2. Since not working with Python, make sure to have a Jupyter kernelspec that corresponds to the language you would like to use installed on your machine. Step 3. Install the Jupyter Extension. Step 4. Open or create a notebook file and start coding!