===== Python and Data analysis =====

  * http://pandas.pydata.org/getpandas.html
  * http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas
  * https://www.packtpub.com/big-data-and-business-intelligence/learning-python-data-analysis
  * http://kyrandale.com/ , http://kyrandale.com/static/talks/pydata/index.html , http://kyrandale.com/blackapps/SA_FDG_3D.html , http://kyrandale.com/static/talks/pydata-to-the-web/index.html
  * http://www.datasciencecentral.com/profiles/blogs/20-data-science-r-python-excel-and-machine-learning-cheat-sheets
  * http://jaehyeon-kim.github.io/python/2015/08/08/Some-Thoughts-on-Python/
  * http://jaehyeon-kim.github.io/python/2015/08/08/Some-Thoughts-on-Python-for-R-Users/
  * http://jaehyeon-kim.github.io/r/2015/11/21/Quick-Test-to-Wrap-Python-in-R/
  * http://radimrehurek.com/data_science_python/
  * https://pragprog.com/book/dzpyds/python-companion-to-data-science
  * http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/
  * http://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/learning-path-data-science-python/