draft, automation, scientific-computing, and high-performance-computing
It’s common to find blog posts referencing the venerable Make utility in the pursuit of reproducible workflows in Data Science. What is less common is an actual tutorial covering a real-world scenario in constructing a Makefile.
python, scientific-computing, and matplotlib
One of the most basic tasks in science and engineering is fitting a model to some data. Doing so in Python is strait forward using
curve_fitfrom scipy.optimize. In the same way seaborn builds on matplotlib by creating a high-level interface to common statistical graphics, we can expand on the curve fitting process by building a simple, high-level interface for defining and visualizing these sorts of optimization problems.
I’m currently in the processes of rebuilding this website and migrating content to the new codebase. I’m interested in writing posts on some the awesome data science projects I’ve been working on; since I last updated the site my wife and I have had a new baby girl and moved across the country to the NY Metro area for a new job.