Developing Dashboard Applications Using Bokeh

on YouTube ↗45m

" summary

Release-ready Bokeh 1.0 details and concrete patterns for interactive dashboards: streaming updates use ColumnDataSource.stream and .patch, deployment options include JSON export and AjaxDataSource callbacks, and layout embeds target divs via templates; lessons come from the Dask Distributed diagnostic UI and a live demo builds a face detection with OpenCV dashboard that highlights faces and streams counts into a time series, coordinating state via the Bokeh server and efficient binary transfers.

AI-written summary · about

" chapters (10)

1. 0:00Introduction
2. 1:53What is Bokeh
3. 6:24Bokeh 1.0 release
4. 12:24Building Bokeh apps
5. 17:40Streaming data examples
6. 21:10Layouts and templates
7. 24:59Custom extensions
8. 29:13Live demo: face detection
9. 32:28Resources and future
10. 35:16Q&A

" related talks

• 26mDeveloping Dashboard Applications using BokehLuke Canavan · PyData DC 2018
• 02h 14mData Applications with BokehBryan Van de Ven · PyData San Francisco 2016
• 01h 31mBokeh for Data Applications and VisualizationBryan Van de Ven · PyData London 2016
• 39mGetting started with Bokeh / Let's build an interactive data visualization for the web..in Python!Sarah Bird · EuroPython 2015
• 59mBig data beautiful visualization on the browser with BokehFabio Pliger · EuroPython 2015
• 01h 46mGetting Started With BokehSarah Bird · PyData Carolinas 2016
• 23mDjango's Data Science Makeover: Integrating D3.js and Bokeh for Data VisualizationDrishti Jain · DjangoCon US 2023
• 41mDash: data exploration web apps in pure PythonChelsea Douglas · PyData DC 2018