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  1. GPU and Python - Andreas Klockner

    45:51

    from PyData Added 10.9K 51 0

    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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    • Network X and Gephi - Gilad Lotan

      39:23

      from PyData Added 6,563 29 0

      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 Random Forest - Brian Eoff

        33:44

        from PyData Added 5,700 22 0

        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

          from PyData Added 5,404 10 0

          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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          • SciKit-Learn Tutorial - Jake VanderPlas

            40:07

            from PyData Added 5,010 34 1

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

              40:54

              from PyData Added 3,893 16 0

              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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              • Python for Business Intelligence - Stefan Urbanek

                29:47

                from PyData Added 3,328 10 1

                Introduction to business intelligence, data warehousing and online analytical processing with Cubes. Cubes is a lightweight Python framework and OLAP server that provides business point of view modeling…

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                • Keynote - Rapid Iteration with Python: Scaling AppNexus

                  32:57

                  from PyData Added 3,300 11 1

                  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

                    from PyData Added 3,181 21 0

                    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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                    • Timeseries and Pandas - Chang She

                      45:54

                      from PyData Added 2,959 23 0

                      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

                        from PyData Added 2,821 18 0

                        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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                        • Bayesian Method For Hackers

                          20:04

                          from PyData Added 2,618 9 0

                          Cam Davidson Pilon

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