Earlier quoted context omitted.
No surprise there - pandas encourages ugly, inefficient code with its bloated, unintuitive API. Once I was a lead on a new project and asked the intern to write some basic ETL code for data in some spreadsheets. I said she could write it in Python if she wanted, because "Python is good for ETL", right? This intern was not dumb by any means, but she wrote code that took 5 minutes to do something that can be done in Al…
R’s meta programming facilities are head and shoulders above Python’s, which I think explains the brilliance of dplyr and dbplyr. But I feel like with R you have to scrape back a bunch of layers to get to the Schemey parts. I’ve always wondered what Hadley and Co would have done with dplyr and dbplyr had they had something like Racket at their disposal.
Edit: or maybe it's not dead? I just found http://www.user2019.fr/static/pres/t246174.pdf