I also like to showcase pandas and sql in the context of pure textual data. I use a spreadsheet that’s an archival finding aid and there’s no actual numerical data in it, but the aggregation and other exploratory queries are nice.
That said, I’ve done the same lesson in dplyr, and as much as I hate R, I keep wanting to go back to it every time I have to use pandas. Elizabeth From: kirby urner <kirby.ur...@gmail.com> Date: Tuesday, June 20, 2023 at 2:03 PM To: edu-sig@python.org <edu-sig@python.org> Subject: [Edu-sig] pandas outside of data science (exhibit) I just got Reuven M. Lerner's Bamboo Weekly (I'm a subscriber) which asks what I use Python for and talks (succinctly) about pandas. This specimen is interesting I think... https://nbviewer.org/github/4dsolutions/School_of_Tomorrow/blob/master/Synchronizing_on_S.ipynb<https://urldefense.com/v3/__https:/nbviewer.org/github/4dsolutions/School_of_Tomorrow/blob/master/Synchronizing_on_S.ipynb__;!!DZ3fjg!-IuiqqSuNgRQJKOA1174EX9NGRvZBkZ_ITrF91A8m9G82d3yooix4MEWwHZIGPvqVWME_zyakTI-0z6zBgoeFCU$> ... because I'm using pandas for tabular data in the context of a math-geometry page, nothing much to do with data science per se. Moral: We don't have to typecast pandas as purely for data scientists, because every discipline, just about, has tabular data. I also showcase using sympy in tandem with pandas. Kirby
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