Honest question: Is there anyone here fluent in both #rstats and #python who prefers R?
I know Python well and am still learning R. It feels kludgy, extremely context-sensitive, and more like an accreted bag of tricks than a designed programming language.
Maybe this is just my fear of change / computer scientist bias or issues with the particular book I'm reading. A part of me feels that students minoring (and someday majoring) in #DataScience should know R because it's widely used, but another part worries that teaching them this inferior tool is doing them a disservice.
Is there an R champion in the house?
@peterdrake quite a late reply but I stumbled upon this short read by the author of 'The Art of R Programming':
https://github.com/matloff/R-vs.-Python-for-Data-Science?s=09
@peterdrake yes, I noticed that you mentioned the book whenever you found design issues with the R language. So I figured, you might find his comparison interesting in regard to R Vs Python data analysis