R versus Python, sort of, not really

Here's Hilary Parker's Opinionated data analysis paper:

[julistanleyA]

This video was great for giving me the language of ‘implementation vs foundation’. Right after I finished my first fundamental computer science courses, I found it so much easier to work in new languages. I’d be like ‘oh, Perl has a cool type system where you’re strictly typed but the types are only scalar, hash, and array, that’s cool’, or ‘mutation in python isn’t the same as java, I need to be careful to be explicit about my references’. And so, when people ask me ‘how do you learn X language’, I really often find myself in that space of fetishising foundation, but not really having the vocabulary to explain the trade-off. Thanks for the insight!

[TheHynza]

hi brian,

after watching this vid i subscribed to your channel and checked out your other vids. thanks for your effort that has been put on this helpful vids.

i need your recommendation on an issue.

last year, i have started to learn python. previously, i didn't have any experience or knowledge about programming. by completing an online course and a book, i learned basic/intermediate programming and algorithmic thinking. then, i have moved on to r, completed online courses.

so, i will start my phd in finance this year. my research's main tasks will be running regressions. which language should i focus on? (i need to mention my casual interest in machine learning and data science, which language is most appropriate for me?)