My main beef about R (and similar tools) is that I summarize my data I get from Hadoop and find it is still too big for R to handle and I then have to summarize it some more.
My main beef about R (and similar tools) is that I summarize my data I get from Hadoop and find it is still too big for R to handle and I then have to summarize it some more.
[1] https://blog.javascripting.com/2014/07/28/fastest-growing-ne...
[2] http://www.pcworld.com/article/2480920/r-programming-languag...
[3] http://redmonk.com/sogrady/2015/01/14/language-rankings-1-15...
Yes I have read [R Inferno] http://www.burns-stat.com/pages/Tutor/R_inferno.pdf
By the way i should have stated that Python is a good choice for doing Data Science it is just that R works better for me.
You assessment is pretty accurate. R is almost the opposite of Python -- you HAVE to use lots of external libraries. Whereas in Python, the core is super solid, but the libraries you get are of varying quality.
R took me the longest to learn out of any language. I currently have coworkers struggling with R, and cursing it. But the learning pays off... it's pretty much the only option out there right now (and yes I use Python for almost everything, but you need R too.)