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Keynote Speakers


Brian Granger

Cal Poly State University, IPython

Brian Granger is an Assistant Professor of Physics at Cal Poly State University in San Luis Obispo, CA. He has a background in theoretical atomic, molecular and optical physics, with a Ph.D from the University of Colorado. His current research interests include quantum computing, parallel and distributed computing and interactive computing environments for scientific and technical computing. He is a core developer of the IPython project, the creator of PyZMQ and a contributor to SymPy. Contact him at ellisonbg@gmail.com or @ellisonbg (Twitter, GitHub).


Functional Performance with Core Data Structures

Computing, and thus software, is one of the foundations of modern technical work across a broad range of fields. Like anything, all software has attributes: slow, fast, buggy, robust, etc. However, these attributes are not passive and neutral. In this talk I will describe how the attributes of software have a profound affect on human behavior, attitudes and thought patterns. These attributes, for better or worse, infect all of the work that is done using the software. To explore these ideas, I will provide an attribute based tour of the IPython Notebook. This tour will elucidate the overall vision for the project and cover our recent work on interactive widgets and converting notebooks to different formats.

Peter Wang

Continuum Analytics

Peter holds a B.A. in Physics from Cornell University and has been developing applications professionally using Python since 2001. Before co-founding Continuum Analytics in 2011, Peter spent seven years at Enthought designing and developing applications for a variety of companies, including investment bankers, high-frequency trading firms, oil companies, and others. In 2007, Peter was named Director of Technical Architecture and served as client liaison on high-profile projects. Peter also developed Chaco, an open-source, Python-based toolkit for interactive data visualization.


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