[peatmoss]

R vs. Python flamewars always strike me as a Budweiser vs. Miller kind of argument. Neither is really a “craft beer” of programming languages. Neither are super remarkable as programming languages. Both made a bunch pragmatic tradeoffs to appeal to large audiences that share similar values—both are “average joe” beers.

Python has comparative advantages over R in production roles. R has comparative advantage in statistical libraries, visualization, and meta programming. Neither are exemplars for production deployment or meta programming (R is an exemplar for stats libraries however).

[canjobear]

Tidyverse absolutely has a hipster craft beer feel to it. I think it's great, but it's true.

[ct0]

There is nothing more hip than library(tidyverse) that I've found in python.

[civilized]

I'm really into this package that lets you manipulate tabular data using dozens of different systems with the exact same code

Yeah, you've probably never heard of it