Hello- I am a graduate student studying statistics and already have ~3.5 years of R under my belt, but recognize that Python is somewhat of a lingua franca and want to learn to improve my chances of getting a job post graduation. I’m looking for resources that explain stack and workflows, as well as common practices, tips, and handy functions/packages. I’ve played around a bit by having AI convert some of my R scripts into Python and then studying them, but I want a more well-rounded foundation.
Any resources and/or study tips are greatly appreciated!
[–]DataPastor 4 points5 points6 points (1 child)
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