| Wow, I really appreciate the reply. As I said in another comment here, I wish tidyverse was big when I was using R. I was an R user from about 2003-2010. We didn't have DPlyr at the moment though ggplot2 was coming around about that time I think. That helped alot for easy to develop visualizations. But in our specific cases, the distributed libraries we used were written in python and integrated well with native python code. Pandas was just coming out around 2010, I think, and I think multi threading was also an issue then, but I can't really remember. So our issues was partially our infrastructure tooling was going to python, but also we had a far easier time hiring people who were proficient in python and harder to find the same for R. And once you start writing more code in python it starts to become harder to justify two separate code bases that can do the same thing so the R code got phased out and rewritten in python so we could have a single code base and not have to duplicate functionality in two languages. Also a slight push for python came from the programmers who thought python represented a better language to know for their careers. Which looking back it does seem like python is used more often these days in general. So I guess there isn't much you could have done in this case. And as a side note, thanks for all the work you've done with R!! |