The Articles section of this site is for technical deep-dives — step-by-step guides on data pipelines, SQL, Python, and the mechanics of working with data. Every article there is meant to be reusable reference material.

This Posts section is something different. It’s for shorter, more opinionated writing: observations from real projects, takes on tools and workflows, lessons learned the hard way, and the occasional rant about why the default settings in a popular library are terrible.

What you’ll find here

• Project write-ups — What I was trying to do, what went wrong, and what I’d do differently.
• Tool opinions — Honest takes on the data ecosystem: what’s overhyped, what’s underrated.
• Process notes — How I think about scoping analysis, communicating results, and avoiding the traps that make data work slow and hard to trust.
• Short observations — Things that don’t fit in an article but are worth writing down.

If you’re looking for “how do I do X in pandas”, start with Articles. If you want to know whether X is even worth doing, you’re in the right place.