Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
James Bednar

James Bednar
Senior Solutions Architect, Anaconda

Website | @JamesABednar

James Bednar is a senior solutions architect at Anaconda. Previously, Jim was a lecturer and researcher in computational neuroscience at the University of Edinburgh, Scotland, and a software and hardware engineer at National Instruments. He manages the open source Python projects datashader, HoloViews, GeoViews, ImaGen, and Param. He has published more than 50 papers and books about the visual system, data visualization, and software development. Jim holds a PhD in computer science from the University of Texas as well as degrees in electrical engineering and philosophy.

Sessions

1:30pm–5:00pm Tuesday, March 6, 2018
Custom interactive visualizations and dashboards for one billion datapoints on a laptop in 30 lines of Python
Data science and machine learning, Visualization and user experience
 Location: 210 D/H
James Bednar (Anaconda), Philipp Rudiger (Anaconda)
Average rating: ****.
(4.50, 2 ratings)
Python lets you solve data science problems by stitching together packages from its ecosystem, but it can be difficult to choose packages that work well together. James Bednar and Philipp Rudiger walk you through a concise, fast, easily customizable, and fully reproducible recipe for interactive visualization of millions or billions of datapoints—all in just 30 lines of Python code. Read more.