1. Generators and Coroutines for Streaming Data Processing - V James Powell

    43:28

    from PyData Added 876 4 1

    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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    • Blaze - Stephen Diehl

      36:41

      from PyData Added 1,117 4 1

      Blaze is a next-generation NumPy sponsored by Continuum Analytics. It is designed as a foundational set of abstractions on which to build out-of-core and distributed algorithms. Blaze generalizes…

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      • IPython Parallel - Brian Granger

        48:37

        from PyData Added 1,459 5 1

        Working with data at large scales requires parallel computing to access large amounts of RAM and CPU cycles. Users need a quick and easy way to leverage these resources without becoming an expert…

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        • NLTK and Text Procesing - Andrew Montalenti

          40:28

          from PyData Added 1,568 12 1

          Python's Natural Language Toolkit is one of the most widely used and actively developed natural language processing libraries in the open source community. This workshop will introduce the audience…

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          • Python for Business Intelligence - Stefan Urbanek

            29:47

            from PyData Added 3,271 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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            • SciKit-image Tutorial - Stefan Van der Walt

              37:17

              from PyData Added 2,553 7 1

              Whether it be on the road, in the shops, or at home--every day we see more computerized devices interact with a world they "see" primarily via cameras. Scikit-image is a library that implements…

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              • SciKit-Learn Tutorial - Jake VanderPlas

                40:07

                from PyData Added 4,896 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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                • GIS in Python Using Shapley - Zain Memon

                  26:15

                  from PyData Added 2,063 8 1

                  Shapely is a Python library for performing geometric calculations. It is most commonly used to process and analyze geographic data, like geo-tagged media or shapefiles. In this talk, we'll take…

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                  • Keynote - Rapid Iteration with Python: Scaling AppNexus

                    32:57

                    from PyData Added 3,294 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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                    • Keynote - Remaking the PSF - Van Lindberg

                      52:32

                      from PyData Added 562 3 0

                      Van is a lawyer at Haynes and Boone, where he spends most of his time helping clients with patent defense and open source questions. For a lawyer, though, he spends an inordinate amount of time working…

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