Interactive visualization for the curious

on YouTube ↗29m

" summary

Matplotlib is presented as stable and publication‑ready with 2,600 pages of documentation but limited interactivity; demos show JavaScript-driven options instead. Concrete projects include MPLd3, Bokeh, VisPy; VisPy uses OpenGL and renders fast 3D brains and molecule views, Bokeh drives HTML5 Canvas and D3‑style charts, and examples wire Pandas to slick grids handling 3,200 rows interactively. Several wrapped JavaScript libraries (3js, Leaflet) are built and demonstrably work inside IPython notebooks.

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" chapters (10)

1. 0:00Start
2. 0:46Matplotlib
3. 2:10Matplotlib Interface
4. 5:51Makai Map of the World
5. 14:353d Plotting
6. 19:49The Ipython Notebook
7. 20:27Technologies for Visualization in in Browsers
8. 23:01Pandas Dataframes
9. 24:30Pandas Dataframe Output
10. 25:22Filters

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