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AI Application Development — September 22, 2026

Findings

  1. [1] 2026-09-22 Notebooks-On-Demand (Nod): A JupyterLab Extension for a Notebook Anywhere

    https://medium.com/media/a60eb3591c012c82df522064eee8175f/hrefNod: Notebooks-on-Demand is an open-source JupyterLab extension that lets you jump into a Jupyter notebook from anywhere in a Python codebase. Just call notebook() from anywhere in your .py file, run it with nod, and a notebook opens at that point… It lets me inspect and switch between different inputs to my function easily.Nod is free and open-source, so check it out here if you’re interested. Nod also works with JupyterHub with a slightly different workflow (see the repository for a guide!).…

  2. [2] 2026-09-22 Shiny for Python 1.8

    We’re happy to announce that Shiny for Python v1.8 is now on PyPI! pip install -U shiny The highlights: * test_server() runs your app’s server logic in memory so you can test it without a browser, * ui.page_html() lets a… When the websocket between the browser and the server drops, Shiny shows the “Disconnected from server” overlay and the client gives up. If your hosting environment keeps sessions alive after a client disconnects (Posit Connect and Shiny Server both can),…

Where Kimbodo Comes In

Kimbodo builds and operates this in production for businesses — see our AI Application Development practice, or Estimate My AI Application.

Sources

  1. [1] Notebooks-On-Demand (Nod): A JupyterLab Extension for a Notebook Anywhere
  2. [2] Shiny for Python 1.8

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