This is a short post to introduce a tool for Jupyter notebooks called ‘watermark.’ I use it to add metadata about the execution environment to my notebooks with a simple IPython magic command.
This is a description of how I use Python in my data analyses, a system that has evolved over 7 years of a computational biology Ph.D. and working in industry.
I provide a simple example of a Dirichlet regression in PyMC. This form of generalized linear model is appropriate when modeling proportions of multiple groups, that is, when modeling a collection of positive values that must sum to a constant. Some common examples include ratios and percentages.
