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  1. GPU and Python - Andreas Klockner

    45:51

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    Why use GPUs from Python? This workshop will provide a brief introduction to GPU programming with Python, including run-time code generation and use of high-level tools like PyCUDA and PyOpenCL, and…

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    • SciKit Random Forest - Brian Eoff

      33:44

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      There was a time when the go to machine learning library was Weka, a behemoth of a Java library. Recently, Scikit-Learn has chipped away at the functionality provided by Weka, and given the Python…

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      • Simulated Algorithmic Trading with Zipline - Thomas Wiecki

        42:57

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        Python is quickly becoming the glue language which holds together data science and related fields like quantitative finance. Zipline is a new, BSD-licensed quantitative trading system which allows…

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        • Network X and Gephi - Gilad Lotan

          39:23

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          Are you interested in working with social data to map out communities and connections between friends, fans and followers? In this session I'll show ways in which we use the python networkx library…

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          • SciKit-Learn Tutorial - Jake VanderPlas

            40:07

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            Machine Learning is a discipline involving algorithms designed to find patterns in and make predictions about data. It is nearly ubiquitous in our world today, and used in everything from web searches…

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            • Keynote - Rapid Iteration with Python: Scaling AppNexus

              32:57

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              2,527 Plays / / 1 Comment

              At AppNexus, we've experienced explosive growth over the last three years. Our data pipeline, horizontally scaled in Hadoop and Hbase, now processes more than 15 terabytes every day. This has…

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              • iPython Notebook - Brian Granger

                43:37

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                Data focused computing involves many stages: exploration, visualization, production mode computing, collaboration, debugging, development, presentation and publication. The IPython Notebook is a web…

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                • Intro to NumPy - Stefan van der Walt and Travis Oliphant

                  40:54

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                  This talk was presented at PyData NYC 2012: http://nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: http://sv2013.pydata.org/

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                  • Timeseries and Pandas - Chang She

                    45:54

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                    Since v0.8, the pandas library has greatly expanded its timeseries functionality. This tutorial will give an introduction to working with timeseries data in pandas. We'll cover how to create…

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                    • Matplotlib Tutorial - Jake VanderPlas

                      52:36

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                      1,794 Plays / / 0 Comments

                      An important part of data-intensive scientific computing is data visualization. Matplotlib offers a full-featured data visualization package within Python, which is built to interface well with numpy,…

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                      • Intro to SciPy - Hugo Shi and Travis Oliphant

                        32:11

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                        1,746 Plays / / 0 Comments

                        This talk was presented at PyData NYC 2012: http://nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: http://sv2013.pydata.org/

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                        • Lightning Talk - Mike Selik - End of Kaggle

                          03:07

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                          1,730 Plays / / 1 Comment

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