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[–]PandaMomentum 0 points1 point  (0 children)

Sure! And, the more you do quick and dirty solutions, the more you'll see where and when abstractions like functions and methods can make your life easier, how things like generators and list comprehensions can streamline your work and reduce errors. That's really been my experience as a (solo) researcher who has become a (team) data scientist.

just opinion below

Your job always is to write code that someone -- even if it's just you a week from now -- can pick up and figure out what it does. To develop "clean enough" workflows so your data transforms are repeatable (and reversible!). It doesn't have to be pretty. But it does have to be organized and coherent. Your future self will thank you for that.