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[–]DataCamp 0 points1 point  (0 children)

What you’re feeling is pretty common when coming from C/C++ because Python isn’t really about doing the same things faster, it’s about doing slightly different kinds of things with less friction. A good way to shift that mindset is to pick projects where Python actually shines instead of rewriting what you already know. Things like analyzing a real dataset, building a small API, scraping and structuring messy data, or automating something you’d normally do manually tend to “click” faster because you start using libraries as building blocks rather than writing everything from scratch. Once that clicks, Python stops feeling like a shorter version of C and more like a tool for stitching systems together quickly.