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Make Data Work
Oct 15–17, 2014 • New York, NY
Peter Wang

Peter Wang
Cofounder and CTO, Continuum Analytics

Website | @pwang

Peter Wang is the cofounder and CTO of Continuum Analytics, where he leads the product engineering team for the Anaconda platform and open source projects including Bokeh and Blaze. Peter has 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 3D 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 has a BA in physics from Cornell University.


9:00am–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 E12/1 E13
Fernando Perez (Lawrence Berkeley National Laboratory and UC Berkeley), Brian Granger (Cal Poly San Luis Obispo), Andy Terrel (Bold Metrics), Peter Wang (Continuum Analytics), Jake Vanderplas (eScience Institute, University of Washington), Olivier Grisel (Inria & scikit-learn), Travis Oliphant (Continuum Analytics, Inc.), William McKinney (Cloudera), Trent Nelson (Continuum Analytics), Kayur Patel (Google), Kester Tong (Google)
Average rating: ****.
(4.43, 14 ratings)
Python has become an increasingly important part of the data engineer and analytic tool landscape. Pydata at Strata provides in-depth coverage of the tools and techniques gaining traction with the data audience, including iPython Notebook, NumPy/matplotlib for visualization, SciPy, scikit-learn, and how to scale Python performance, including how to handle large, distributed data sets. Read more.