A Visual Studio Code extension that integrates with the Jupyter Extension allowing user to connect and execute code against kernels running on JupyterHub.
- Step 1. Install VS Code
- Step 2. Install the JupyterHub Extension
- Step 3. Open or create a notebook file by opening the Command Palette (
Ctrl+Shift+P) and selectJupyter: Create New Jupyter Notebook. - Step 4. Open the kernel picker by clicking on the kernel picker in the top right of the notebook or by invoking the
Notebook: Select Notebook Kernelcommand - Select the option
Existing JupyterHub Server... - Follow the prompts to enter the Url of the JupyterHub Server, username and password (or an API token).
- Next select a Kernel and start coding!
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If you have a question about how to accomplish something with the extension, please ask on Discussions. - Any and all feedback is appreciated and welcome! If you come across a problem or bug 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.
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Contributions are always welcome, so please see our contributing guide for more details.
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 telemetry.telemetryLevel setting which you can learn more about at https://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.
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.