Professional Python

By the end of this course, students will go from hacking together one-off scripts to building clean, reusable, and testable Python packages they’re proud to ship. Instead of dreading refactors or wondering “did I just break something?”, they’ll have a repeatable workflow: modern environments, clear project structure, meaningful tests, static typing, CI, and a sane way to use AI tools without trusting them blindly.

Students will learn how to scaffold a real-world Python project, wire up pytest and mypy, and automate checks with GitHub Actions so every push gives fast, honest feedback. They’ll see how to bring in modern language features—like dataclasses and pattern matching—to simplify code rather than add cleverness for its own sake.

Most importantly, they’ll walk away with a working project in a public repo that they can show to their team or manager: “Here’s how I’d set up our next Python service or library.”