Name: [Online] Make Your Own JupyterLab Extension
Start: 2025-01-07T12:00:00-05:00
End: 2025-01-07T13:00:00-05:00

Make your own JupyterLab extension in this tutorial. **JupyterLab** is a free and open source, browser based integrated development environment (IDE) that is the successor to Jupyter Notebook. Designed from the core to be extensible, JupyterLab is itself an extension of the Jupyter framework. Since its release, open source developers have contributed hundreds of third party extensions (652 third-party extensions as of 2024-10-15).

JupyterLab extensions **can customize or enhance any part of JupyterLab**. They can provide new themes, file viewers and editors, or renderers for rich outputs in notebooks. Extensions can add items to the menu or command palette, keyboard shortcuts, or settings in the settings system.

JupyterLab began in 2015 thanks to a $6 million grant from the Leona M. and Harry B. Helmsley Charitable Trust, the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation. The first stable release was in 2018. Real time collaboration was added in 2021.
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How to Join the Webinar
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You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar:
[https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar](https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar)

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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YT and set your notifications: [https://www.youtube.com/c/DataUmbrella/](https://www.youtube.com/c/DataUmbrella/)

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Time
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Additional Details
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**Talk Level:** Intermediate
**Pre-reqs:** JavaScript, TypeScript, React, Graphical User Interface Programming, Web Application Development.
**Prep Work:** Review the JupyterLab extension examples repository
**Resources:** [https://jupyterlab.readthedocs.io/en/latest/extension/extension_dev.html](https://jupyterlab.readthedocs.io/en/latest/extension/extension_dev.html)
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For the past several years, Roy has been working on CrossCompute, a distributed computing platform for deploying decision support tools. He is interested in infrastructure planning and hazard mitigation.

[Online] Make Your Own JupyterLab Extension

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