I’m spending 100 days building up my Python skills in public — starting from the fundamentals and working toward real, working AI-powered applications.

The plan runs in phases: solidifying core Python and tooling, moving into data wrangling and automation, building small web apps and APIs, picking up the basics of working with LLMs, and finishing with a handful of capstone AI projects built end to end and deployed.

Each post is a short, honest log of what I set out to build, what actually happened, and what clicked (or didn’t). The code for standalone projects lives alongside the posts, so this blog doubles as a running portfolio of the work.

If you’re on a similar path, I hope some of this is useful. Feel free to follow along.