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  1. GPU and Python - Andreas Klockner

    45:51

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    9,444 Plays / / 0 Comments

    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-Learn Tutorial - Jake VanderPlas

      40:07

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      2,481 Plays / / 0 Comments

      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 SciPy - Hugo Shi and Travis Oliphant

        32:11

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        1,578 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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        • Network X and Gephi - Gilad Lotan

          39:23

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          2,535 Plays / / 0 Comments

          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

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            3,489 Plays / / 0 Comments

            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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            • iPython Notebook - Brian Granger

              43:37

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              2,359 Plays / / 0 Comments

              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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              • Hadoop Python Integration and Pig - K Young

                32:48

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                1,169 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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                • Timeseries and Pandas - Chang She

                  45:54

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                  2,033 Plays / / 0 Comments

                  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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                  • Machine Learning, NLP + Data Science in Python - Joseph Turian

                    18:53

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                    1,044 Plays / / 0 Comments

                    Have a data science problem in Python? Need to do some ML or NLP, but find the options daunting? In this whirlwind tour, we'll go over some common use-cases, and explain where to start. More…

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

                      40:54

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                      1,980 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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                      • Matplotlib Tutorial - Jake VanderPlas

                        52:36

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                        1,707 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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                        • WebCrawling and Metadata Extractors - Andrew Montalenti

                          19:45

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                          849 Plays / / 0 Comments

                          Python has long been used as a language for crawling the web -- perhaps the most successful example being the early web crawlers built for the Google search engine. In recent times, open source libraries…

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