Interactive Data Visualizations with Python

on YouTube ↗01h 55m

" summary

Concrete claims: Bokeh Python generates interactive browser graphics from Python without writing JS, with three outputs (HTML file, notebook, bokeh-server). Tools actually used: pandas for data, Anaconda/conda for install, BokehJS on the client, and embedding via components which returns a script+div. Surprising numbers: sensible interactive plots handle ~30,000 points before needing downsampling or abstract-rendering. Many runnable examples and a live server demo stream updates and widgets, charts API is evolving but plotting/models are stable.

AI-written summary · about

" chapters (10)

1. 0:00Introduction
2. 14:58High-level charts API
3. 31:48Plotting with glyphs
4. 42:16Low-level Bokeh models
5. 56:23Bokeh server for dashboards
6. 1:01:06Embedding Bokeh in web apps
7. 1:13:32Compatibility with Matplotlib etc.
8. 1:28:29Widget interactions
9. 1:37:13Layout and styling
10. 1:43:04Q&A

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