Links to various useful external resources. Will be continually updated
Project Structure
http://drivendata.github.io/cookiecutter-data-science/
Numpy for R users
http://mathesaurus.sourceforge.net/r-numpy.html
Jupyter Features
http://arogozhnikov.github.io/2016/09/10/jupyter-features.html
Practical Data Analysis Advice
http://www.unofficialgoogledatascience.com/2016/10/practical-advice-for-analysis-of-large.html
Modern Pandas
https://tomaugspurger.github.io/modern-1.html
Interactive Tutorial on Numerical Optimisation
http://www.benfrederickson.com/numerical-optimization/