Turning Jupyter Notebooks into Data Applications
summary
Shows a concrete workflow: use Jupyter dashboard plus declarative widgets to turn a notebook into a standalone web app that loads Durham health‑inspection CSVs, binds a filter input to a backend function, renders a sortable table, centers a Google Map marker from the table selection, and computes median violations for grouping. The notebook packages to a separate dashboard server for sharing; maps sometimes need a refresh workaround but the deploy‑and‑iterate cycle demonstrably works.
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chapters (8)
- 0:00Introduction
- 10:52Health inspections dashboard
- 23:02First interactive widget
- 33:50Deploy as web app
- 40:02Declarative widgets and binding
- 1:00:26Widgets to functions and data
- 1:10:37Charts and maps
- 1:22:27Finalizing and Q&A
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