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pydeck: High scale data visualization for Python

This repo is a series of demos from my talk for JupyterCon 2020.

Run pip install -r requirements.txt && python -m jupyter notebook in this directory run the Notebooks in this repo. Enable pydeck for use in a Notebook by following the instructions here.

Table of contents:

  • JupyterCon.ipynb is the main Notebook of the talk, explaining why pydeck was written, how it works, and how to use it.
  • Isochrones with GraphHopper and pydeck.ipynb features a demo of pydeck, Jupyter, and the Graphhopper routing engine working together to count biergartens within 20 minutes of any arbitrary clicked point.
  • Tour Map Demo.ipynb makes the interactive tour map near the end of the talk.
  • Synthetic Data Generator.ipynb makes the user sign-up data you see in the talk.
  • San Francisco Business Registrations.ipynb makes the visualization of San Francisco that opens the talk.

Sources:

  • Isochrones are generated by GraphHopper.
  • The registration data for San Francisco local businesses is available via SF Open Data, viewable here.
  • Tour map data is from setlist.fm.
  • The Uber Engineering blog post on fraud detection is here.

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