Interactive Visualization in Jupyter with Bqplot and Interactive Widgets

on YouTube ↗41m

" summary

Shows concrete demos: installs from conda, live sliders wired to ipywidgets, plots made with Bqplot where every mark and scale is a synchronized widget, and a working 3D pane (PI 3GS) and Leaflet maps all driven from Python. Built examples include brush/interval selectors, draggable points updating a computed mean, gamepad camera control, and an embeddable widget export. Everything runs in the notebook and updates in real time with no extra JavaScript.

AI-written summary · about

" chapters (9)

1. 0:00Introduction
2. 1:53Interactive widgets
3. 9:14bqplot for plotting
4. 15:09bqplot with widgets
5. 20:133D with ipy3js
6. 23:30Interactive maps
7. 27:22Gamepad in notebooks
8. 28:47Jupyter's future
9. 31:48Q&A

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