Useful External Resources

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/