Despite having switched to Python after many years of being a tidyverse acolyte, I don't really understand this argument against deployed R.

Are folks who say this not using containers? R has been at least as easy to dockerize as Python since whenever Rocker started, only easier with more recent package management options. Once dockerized, my only R complaints are around logging inconsistencies.

I used to think the culture around R meant that productionizing arbitrary code was harder on average than in Python...but years of suffering with the pandas API has me thinking the opposite these days.

I can trust a junior R dev to write reusable pure functions but can't trust a senior Python dev to do the same!