hexhead | 7 years ago | on: R: Lessons Learned, Directions for the Future [pdf]
R feels a lot like Perl to me, idiosyncratic but useful. I switched from Perl to Python years ago, but like R, I remember it being a scrappy language. It was sorta like how I use 'vi' for admin work, while I use a full IDE for large code bases in C/C++. I can crank up R to do quick things I could do in Julia or Python, but I am in the situation where all my colleagues use R (and Matlab), since they are not programmers. If their prototypes work out, I code them in C++ to run on large clusters. C(++) is the only language I've worked in consistently for over 30 years. I have hope for julia.