Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
John D

John D
Lead Developer, CUNY Building Performance Lab

John DeBlase is lead developer for the CUNY Building Performance Lab, where he helps develop Python-based statistical modeling applications for city-wide energy management research. A developer, data scientist, and musician from Queens, NY, John’s personal research revolves around the development musical intelligence systems using natural language processing techniques with a focus on real-time human-computer interaction. John is interested in developing applications for data scientists that emphasize interactive data visualization, leveraging the best tools currently available in both Python and Node.js.

Sessions

1:50pm–2:30pm Thursday, August 24, 2017
Beautiful networks and network analytics made simpler with Jupyter
Extensions and customization
 Location: Sutton Center/Sutton South Level: Intermediate
Daina Bouquin (Harvard-Smithsonian Center for Astrophysics), John D (CUNY Building Performance Lab)
Performing network analytics with NetworkX and Jupyter often results in difficult-to-examine hairballs rather than useful visualizations. Meanwhile, more flexible tools like SigmaJS have high learning curves for people new to JavaScript. Daina Bouquin and John DeBlase share a simple, flexible architecture that can help create beautiful JavaScript networks without ditching the Jupyter Notebook. Read more.