Useful python functions
Useful links:
Andrew Ng's Coursera problems in Python http://www.johnwittenauer.net/machine-learning-exercises-in-python-part-1/
XGBoost Hyperparameter Tuning Guide http://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/
Data Science Cookbook http://chrisalbon.com/
Python Tricks http://sahandsaba.com/thirty-python-language-features-and-tricks-you-may-not-know.html
Ensembling Guide http://mlwave.com/kaggle-ensembling-guide/
IPython Notebooks http://nb.bianp.net/sort/views/
Various Python Tutorials incl. Data Science https://pythonprogramming.net/
Sebastian Raschka's Machine Learning FAQs http://sebastianraschka.com/faq/index.html
Python Antipatterns http://docs.quantifiedcode.com/python-anti-patterns/correctness/index.html
Theano GPU Windows Setup https://datanoord.com/2016/02/02/setup-a-deep-learning-environment-on-windows-theano-keras-with-gpu-enabled/
Intro to Tensorflow https://medium.com/@khor/the-gentlest-introduction-to-tensorflow-248dc871a224#.4x3p2hej0
Python Itertools http://programeveryday.com/post/using-python-itertools-to-save-memory/
Inner functions and decorators https://realpython.com/blog/python/inner-functions-what-are-they-good-for/
Binary Indexed Trees (Fenwick) https://www.topcoder.com/community/data-science/data-science-tutorials/binary-indexed-trees/
Python Anti-patterns http://docs.quantifiedcode.com/python-anti-patterns/index.html#
Jeff Knupp Python: https://jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/
Darknet: http://pjreddie.com/darknet/
Concurrency and Parallelism: http://learn-gevent-socketio.readthedocs.io/en/latest/general_concepts.html#what-s-a-coroutine
Unit testing: https://jeffknupp.com/blog/2013/12/09/improve-your-python-understanding-unit-testing/