Getting started with Bokeh / Let's build an interactive data visualization for the web..in Python!

on YouTube ↗39m

" summary

Bokeh presents a Python-first way to build interactive web visuals: examples show charts, plotting and models layers, an IPython notebook workflow, and embedding via the components call that returns a script plus divs for templates. Data use centers on a column data source and shared ranges/sources enable linked panning and selection. Client-side JS callbacks (the new actions framework) power interactions like a slider demo that outputs standalone HTML and cuts asset size from 1.6MB to about 6KB.

AI-written summary · about

" chapters (10)

1. 0:00Start
2. 8:11The Plot
3. 11:45Charts
4. 15:10Plotting Interface
5. 18:57Specify Height on a Categorical Axis
6. 20:31Models
7. 22:55Layout
8. 26:12Styling
9. 34:10Linking Selections
10. 34:36Callbacks

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