JupyterLab+Real Time Collaboration

on YouTube ↗29m

" summary

JupyterLab brings notebooks, consoles, terminals and editors into one extensible UI and shows concrete results: a canvas CSV viewer loads and scrolls a 1.2 million row file in about eight seconds while Excel chokes, a demo data grid scrolls a one trillion rows by one trillion columns space, and a UI toolkit PhosphorJS powers docking and live markdown preview with attached code consoles. Real‑time collaboration uses Google Drive operational transforms, supports live carets and chat, and mostly works as an alpha with a few rough edges.

AI-written summary · about

" chapters (6)

1. 0:00JupyterLab introduction
2. 2:26JupyterLab interface
3. 6:38Advanced features
4. 10:12Data visualization
5. 13:15Real-time collaboration
6. 20:44Q&A

" related talks

• 40mJupyterLab: The Evolution of the Jupyter NotebookIan Rose, Grant Nestor · PyData Los Angeles 2018
• 15mWorking interactively with large and remote datasets in...Max Klein · PyData Austin 2019
• 28mCollaborative editing in JupyterDavid Brochart · PyData Paris 2024
• 27mBuilding web-based engineering applications with JupyterLab componentsMartin Renou, Trung Le · PyData Paris 2024
• 28mCollaborative GIS editing in JupyterLabMartin Renou, Arjun Verma · PyData Paris 2025
• 49mBest tools for Jupyter notebooksDmitry Trofimov · PyCon APAC 2019
• 24mPractical examples of interactive visualizations in JupyterLab...Jeremy Tuloup · PyData Berlin 2018
• 29mUsing Jupyter notebooks to develop and share interactive data displaysIoanna Ioannou, Maoyuan Liu · PyCon AU 2016 Science and Data Miniconf