Jupyter, Pixiedust & Maps: Simplifying spatial visualization in Jupyter Notebooks

Ee996d54796a7772b3a0c08b5adf6b7b?s=47 Raj Singh
August 24, 2017

Jupyter, Pixiedust & Maps: Simplifying spatial visualization in Jupyter Notebooks

video: https://www.youtube.com/watch?v=Ezh7Xb67lkI&t=107s&list=PLGVZCDnMOq0rxoq9Nx0B4tqtr891vaCn7&index=47

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. The Jupyter stack is built from the ground up to be extensible and hackable. The Developer Advocacy team at IBM Analytics has developed an open source library of useful time-saving and anxiety reducing tools we call "Pixiedust". It was designed to ease the pain of charting, saving data to the cloud and exposing Python data structures to Scala code. I'll talk about how I built mapping into Pixiedust, putting data from Spark-based analytics on maps using Mapbox GL.

Ee996d54796a7772b3a0c08b5adf6b7b?s=128

Raj Singh

August 24, 2017
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