~/talk

Make your research interactive with Jupyter Dashboards

Talkat PyData London 2017 · 2017-05-05..05-07· [developer-experience, web-platform]
links:none on file
slides:none on file

Shows how to turn notebooks into live web apps with Jupyter Dashboards, using Bokeh + ipywidgets for interactivity and a kernel-gateway to route execution. Demos include Gapminder and an IMDB explorer that sends selected point indices back to Python via callbacks, notebook-import reuse, URL parameter injection, and a Docker Compose deployment. Architecture is three services (dashboard server, notebook server, kernel host) and a two‑core laptop demo visibly struggles while a 24‑core host scales.

AI-written summary · about

  1. 0:00Introduction
  2. 1:58Jupyter Dashboards
  3. 9:09Notebooks to dashboards
  4. 11:07Live dashboard demo
  5. 26:18Interactive callbacks
  6. 31:28Scalability considerations
  7. 42:20Reusable code import
  8. 56:09Live workshop test
  9. 1:00:42Challenges and alternatives
  10. 1:07:14Q&A
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