The Jupyter Notebook 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 Watson Data Platform has developed PixieDust, an open source library of useful time-saving and anxiety-reducing tools designed to ease the pain of charting, saving data to the cloud, and exposing Python data structures to Scala code.
Raj explains how the team built mapping into PixieDust, putting data from Apache Spark-based analytics on maps using Mapbox GL.
This session is sponsored by IBM.
Raj Singh is a developer advocate for IBM Cloud Data Services. Raj pioneered web mapping as a service in the late 1990s with his startup Syncline. Previously, Raj worked on geospatial data interoperability challenges for the Open Geospatial Consortium, an international standards body. He’s a frequent speaker on interoperability and geolocation services and contributed to Mapping Hacks. He holds a PhD from MIT, where his research explored the potential of web services to power urban information systems.
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