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. Many language kernels will work with no modification. To enable advanced features, modifications may be needed in the VS Code language extensions.
Working with Python
Whether you are on VS Code Stable or VS Code Insiders, if you would like to work with Python just make sure you're using the latest version of the Python Extension to enjoy the joint partnership of the Python and Juypter Extensions.
Please follow the Python Extension ReadMe instructions to get started and visit the Python Documentation to learn more about how the Python and Jupyter Extension are working together to provide an optimum Python notebooks experience.
Working with other Languages
The Jupyter Extension supports other languages in addition to Python such as Julia, R, and C# in VS Code Insiders with our latest Native VS Code Notebooks Experience!
Step 1. Install VS Code Insiders
Step 2 If 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!
Special Note: The Jupyter Extension in VS Code Insiders will include our Native Notebooks experience by default. Because we are running in VS Code Insiders and this build is updated every day, there may be times when our extension may fail to work at all. We do attempt to ensure that this doesn't happen frequently. If it does, we strive to provide an updated extension build by the next business day. However, if you'd like to opt out of the native experience while working in VS Code Insiders:
- Open the command palette (Windows: Ctrl + Shift + P, iOS: Command + Shift + P) and select "Preferences: Open Settings (JSON)"
- Add the following code to your JSON settings:
Notebooks Quick Start
To create a new notebook open the command palette (Windows: Ctrl + Shift + P, iOS: Command + Shift + P) and select the command
"Jupyter: Create New Blank Notebook"
Select your kernel by clicking on the kernel picker in the bottom right of the status bar or by invoking the
"Notebook: Select Notebook Kernel" command.
Change the cell language by clicking the language picker or by invoking the
"Notebook: Change Cell Language" command.
Open the Command Palette (Command+Shift+P on macOS and Ctrl+Shift+P on Windows/Linux) and type in one of the following commands:
Jupyter: Create New Blank Notebook
|Create a new blank Jupyter Notebook
Notebook: Select Notebook Kernel
|Select or switch kernels within your notebook
Notebook: Change Cell Language
|Change the language of the cell currently in focus
Jupyter: Export to HTML Jupyter: Export to PDF
|Create a presentation-friendly version of your notebook in HTML or PDF
To see all available Jupyter Notebook commands, open the Command Palette and type
Learn more about the rich features of the Jupyter extension:
IntelliSense: Edit your code with auto-completion, code navigation, syntax checking and more!
- May be limited due to kernelspec of choice
Jupyter Notebooks: Create and edit Jupyter Notebooks, add and run code/markdown cells, render plots, create presentation-friendly versions of your notebook by exporting to HTML or PDF and more!
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. Our wiki is also updated periodically with useful information.
Any and all feedback is appreciated and welcome! If you come across a problem with the extension, please file an issue.
- If someone has already filed an issue that encompasses your feedback, please leave a 👍/👎 reaction on the issue.
Contributions are always welcome! Please see our contributing guide for more details.
If you're interested in the development of the extension, you can read about our development process
Data and telemetry
The Microsoft Jupyter 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
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.