I want to find out from you fine folks why this can be the case? Or rather an opinion.
To me I see it as a bias thing, I've created immense value for my company through shiny and leaflet, all through R,
I taught myself R and kept reading and growing and developing my R skills, and simply put, I made an app way quicker than the Py, or Scala devs could. In that way saving near millions to company, just by surfacing the data, no fancy ML or AI stuff yet.
So one thing I heard was that the memory management in R is poor? I don't know enough to say that this is the case, Is it in the way R stores variables? Or something?
Also for loops in R are slow, we'll I mean for loops in general are just slow? I've messed around a little in python and there you map functions to stuff too (instead of for loops) and that blazes through it. But are they slow in particular for R?
Guess I just want a good all round discussion, and/or some resources and reading I can do on this would be greatly appreciated.