1. 10: Datenauswertung

    10:36

    from TUD Pythonkurs / Added

    77 Plays / / 0 Comments

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    • WinterDub - Fun with Python

      02:30

      from Dennis Bukenberger / Added

      24 Plays / / 0 Comments

      Music: redRum by Flex Vector This video contains fast flickering frames, my Firefox (+ Adobe Flash Player) can't handle this properly - everything moves to slow and laggy. So maybe try to watch it with your Chrome Browser. After a few python image-scripts, I wanted to try some audioprocessing as well, which resulted in this video. Using Scipy und Numpy to analyse and filter Wav files and calculate PNG-Images for masking videofootage dependent on the actual frequency of the music. Footage captured with Canon 600D, final video rendered with After Effects CS6.

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      • SciKit Random Forest - Brian Eoff

        33:44

        from PyData / Added

        4,058 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 community a comparable machine learning all-in-one library. In this talk Brian will discuss how Scikit-Learn is used to solve organic & inorganic problems at bitly. An organic decode was one in which a user makes an explicit decision to click on a link, and inorganic decode is one in which a link gets triggered without the users explicit knowledge. An example of an inorganic type of link is using a bitly encoded link to wrap a small gif that is embedded in a web page. Often these links get over inflated decode counts, which gives the naive appearance of them being popular. Brian will show how Scikit-Learn is used to decide on discriminative features, build the classifier, and test the classifier. 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

          from PyData / Added

          2,317 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, scipy, Ipython, and related tools. In this tutorial we will introduce and explore the basic features of plotting with matplotlib; from simple plots such as line diagrams, scatter-plots, and histograms, to more sophisticated features such as three dimensional plotting and animations. 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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          • Intro to SciPy - Hugo Shi and Travis Oliphant

            32:11

            from PyData / Added

            1,992 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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            • Intro to NumPy - Stefan van der Walt and Travis Oliphant

              40:54

              from PyData / Added

              2,989 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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              • pheriday 0: scientist-hacker howto (2012-07-20)

                05:29

                from Paul Ivanov / Added

                135 Plays / / 0 Comments

                paul's habitual errant ramblings (on Fr)idays (2012-07-20) show notes: http://pirsquared.org/blog/2012/07/20/scientist-hacker/ gopher://sdf.org/1/users/ivanov/pheridays/2012-07-20 (yes, gopher!) programs used: Debian GNU/Linux sid, recordmydesktop, xmonad, fbpanel, screen, chromium, cheese, xcompmgr, mutt, wyrd, tail, w3m

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                • Curso de Computação Científica com Python

                  08:55

                  from Marcel Caraciolo / Added

                  1,050 Plays / / 0 Comments

                  Apresentação do Curso de Computação Científica com Python com instrutor Marcel P. Caraciolo Mais informações: http://www.pycursos.com

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                  • Introduction to SciPy

                    25:27

                    from whykay / Added

                    165 Plays / / 0 Comments

                    PyCon Ireland 2011. (Radisson Blu Royal Hotel 2011 - 8th Oct 2011) Speaker: Vishal Vatsa Abstract ---------- Brief intro to SciPy covering NumPy, Matplotlib and iPython. (Level: Beginner) Link to talk: http://python.ie/pycon/2011/talks/introduction-scipy/ Thanks to ------------ - Robert Murphy and Susan Bourke for videoing the talks on Saturday. - Tim Kersten for providing an extra roving camera on the day. - Post-Production: Robert Murphy - All the volunteer session chairs - And you, who made this conference possible by helping and attending! :-) More details: http://python.ie/pycon

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                    • Is f(x)=sign(x)*(x^2)^0.125 differentiable at x=0?

                      03:20

                      from Niels Langager Ellegaard / Added

                      92 Plays / / 0 Comments

                      The function f(x)=sign(x)*(x^2)^0.125 is not differentiable at x=0. Can you see why?

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