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ビックデータとPythonではじめる野球の統計分析(α)

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ビックデータとPythonではじめる野球の統計分析(α)

  1. 1. Python (α ) Analyzing Baseball Data With Python Shinichi Nakagawa@shinyorke(visasQ inc.)
  2. 2. Who am I? • Shinichi Nakagawa(@shinyorke) ※ • Pythonista/Agile & Scrum & Kansan coach/Baseball Analyst • visasQ( ) Python Engineer/Scrum Master
 ※ ( ) • /Oakland Athletics . • .
  3. 3. Starting Member • MLB Hack • MLB Python Hack 
 pitchpx Jupyter + pandas + matplotlib • • PyCon JP 2016 CfP
  4. 4. Hack! Python PyCon JP 2015 http://www.slideshare.net/shinyorke/hackpython-pyconjp
  5. 5. Hack! Python PyCon JP 2015 http://www.slideshare.net/shinyorke/hackpython-pyconjp
  6. 6. Hack! Python PyCon JP 2015 http://www.slideshare.net/shinyorke/hackpython-pyconjp
  7. 7. Hack! • etc… • • 
 ( ) • … •
  8. 8. MLB at BAT MLB • MLB • PC Apple TV • MLB.TV •
  9. 9. Analyzing Baseball Data with R • MLB Retrosheet ,
 MLB at BAT • R • pitchRx R 
 at BAT &
  10. 10. “ pitchRx 
 R 
 at BAT & ”
  11. 11. Python ※R (ry
  12. 12. pitchpx - Getting MLB dataset • MLB at BAT & CSV Python . • pitchRx(R) . • . • Python 3.3.x • PyPI
  13. 13. $ # Python 3.3 ( Python 3.4 ) $ pip install pitchpx $ # 2015/8/1-8/12 $ pitchpx -s 20150801 -e 20150812 -o .
  14. 14. • - (2015/8/12) 
 • etc… • pitchpx pandas matplotlib(&seaborn) & • Jupyter notebook(Python 3.5.1)
  15. 15. … ,
  16. 16. Qiita (SEA) Python http://qiita.com/shinyorke/items/2c2e2c3976fc2d1ed051
  17. 17. ??? ※ MLB
  18. 18. ( )OK http://gd2.mlb.com/components/copyright.txt & http://qiita.com/shinyorke/items/566f1b7e7687492a0c7f
  19. 19. (PyCon JP 2016)
  20. 20. Python (ja) & @a_macbee LT ( ). https://pycon.jp/2016/ja/proposals/vote/16/
  21. 21. Pythonista Web(Django), , . https://www.wantedly.com/projects/56109
  22. 22. . Shinichi Nakagawa(Twitter/Facebook/visasQ:@shinyorke)

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