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?