Pycon tw 2013

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Report for Pycon tw 2013. I am Japanese.

Report for Pycon tw 2013. I am Japanese.

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  • 1. Report for Pycon tw06/08/2013 Wako.Rshowyou
  • 2. Datamining EngineerWork● Maintain Hadoop● Maintain BI tool● Hive, Pig, ...PRML reading circleLike PythonWho am I?
  • 3. ● Talk about foreign Conference● Not talk about R, but talk about Data science● Let Japanese makes slide in EnglishThe aim of report
  • 4. Pycon tw 2013500peopleMainlyacademic?AcademiaCinica@Taipei
  • 5. Talk about:1. Python 3(difference from Python2)2. Algorithm3. Collect dataKeynote
  • 6. cross validationsklearn.cross_validationPython for Data scientistTrainingCVf=kx
  • 7. Boostingensemble.GradientBoostingRegressor?example:Mean for a data set which contains outlierdata set -> sampling some data points, calculatemean(=a learner) ... do N timesPycon for Data scientist
  • 8. http://www.slideshare.net/jimmy_lai/big-data-analysis-in-pythonBigdata with python
  • 9. Python has many libraries for scientist.Scipy, Numpy, Scikit, Pandas,Disco - Lightweight Map ReduceNLTK - Natural Language ToolKitPandas - DataframeStatsModel - data structureMatplotlib - Plot method of RNetworkX http://networkx.github.io/documentation/latest/gallery.htmlBigdata with python(2)
  • 10. ● Stuff of Disqus● Sentry https://getsentry.com/welcome/● RedisScale
  • 11. ● R is good language, but Python becomestatistical/machine-learning programing language● Especially, a half of session talked about numpy,data manipulation, etc...● a half of session shows the slide written inEnglish○ In Japan, how many people?My impression
  • 12. Talked about pycon tw 2013 from dataminingengineer view."Numpy"Conclusion