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
Peter Wang

Peter Wang
Cofounder and CTO, Anaconda

Website | @pwang

Peter Wang is the cofounder and CTO of Anaconda, where he leads the product engineering team for the Anaconda platform and open source projects including Bokeh and Blaze. Peter’s been developing commercial scientific computing and visualization software for over 15 years and has software design and development experience across a broad variety of areas, including 3-D graphics, geophysics, financial risk modeling, large data simulation and visualization, and medical imaging. As a creator of the PyData conference, he also devotes time and energy to growing the Python data community by advocating, teaching, and speaking about Python at conferences worldwide. Peter holds a BA in physics from Cornell University.

Sessions

9:15am–9:25am Thursday, August 24, 2017
Jupyter and Anaconda: Shaking up the enterprise (sponsored by Anaconda Powered by Continuum Analytics)
Sponsored Keynote
 Location: Grand Ballroom
Peter Wang (Anaconda)
Average rating: *****
(5.00, 2 ratings)
In recent years, open source has emerged as a valuable player in the enterprise, and companies like Jupyter and Anaconda are leading the way. Peter Wang discusses the coevolution of these two major players in the new open data science ecosystem and shares next steps to a sustainable future. Read more.
11:55am–12:35pm Thursday, August 24, 2017
Fueling open innovation in a data-centric world (sponsored by Anaconda Powered by Continuum Analytics)
Sponsored
 Location: Regent Parlor
Peter Wang (Anaconda)
Peter Wang explores open source commercial companies, offering a firsthand account of the unique challenges of building a company that is fundamentally centered around sustainable open source innovation and sharing guidelines for how to carry volunteer-based open source values forward, intentionally and thoughtfully, in a data-centric world. Read more.