Building web-based engineering applications with JupyterLab components

on YouTube ↗27m

" summary

Shows a concrete pipeline: assemble JupyterLab components into a CAD/GIS app, keep the scene as a small JSON shared model, and add real-time collaboration via Jupyter Collaboration so multiple browsers and kernels edit the same document. Uses a Python API and plugins (FCStd import example), runs kernels over ZeroMQ for heavy compute, deploys as a pip package or scale with JupyterHub, or as static via WebAssembly (JupyterLite).

AI-written summary · about

" chapters (8)

1. 0:00JupyterLab engineering apps
2. 4:11Requirements for web apps
3. 6:30JupyterLab components meet needs
4. 9:09Real-time collaboration in JupyterCAD/GIS
5. 11:00Handling intensive computations
6. 12:56Deploying Jupyter apps
7. 15:16Live demo: JupyterCAD/GIS
8. 24:35Q&A

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