Bokeh for Data Applications and Visualization
summary
Bokeh is an interactive browser visualization library that demos a working stack: high‑level charts, the lower‑level plotting API, widgets, linked brushing via shared column data sources, and the Bokeh server for two‑way sync. Examples include notebook widgets with push_notebook, apps under 100 lines of Python, streaming with rollover for real‑time updates, and Datashader rendering 10 million NYC taxi points interactively and processing ~3 billion GPS points in ~7s on EC2 — all shown running, not just promised.
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chapters (8)
- 0:00Bokeh introduction
- 10:14Setting up Bokeh
- 25:22High-level charts
- 36:13Plot styles customization
- 49:07Layouts widgets interactions
- 1:08:56Bokeh server data apps
- 1:21:23Data Shader large datasets
- 1:30:12Alternatives future directions
related talks
59mBig data beautiful visualization on the browser with Bokeh
02h 14mData Applications with Bokeh
01h 46mGetting Started With Bokeh
42mBokeh and Friends
39mGetting started with Bokeh / Let's build an interactive data visualization for the web..in Python!
01h 55mInteractive Data Visualizations with Python
45mDeveloping Dashboard Applications Using Bokeh
26mDeveloping Dashboard Applications using Bokeh
