smartrappy logo If you’ve ever inherited responsibility for a messy Python codebase, or returned to your own code after a few months, and wondered “what on earth is going on here?”, you’re not alone. Understanding complex code dependencies, data flows, and how different parts of a project interact is a common challenge, especially with analytical pipelines that have gathered a bit of dust or changed substantially since you last used them. Of course, ideally, it shouldn’t get to this...
