Re:Ask HN: Languages to learn in 2019 for Data Science?
by usgroup on Tuesday December 25, 2018 @04:04AM
(#18756665)
Definitely R, but IMO from the start learn it with tinyverse and Rcpp. I.e use it as a pipelining and glue language but don’t write any processing code in it. R is slow, and memory hungry.
Having said that tinyverse basically calls methods written in C and has a beautiful syntax. As Rcpp let’s you write whatever needs to go quickly in c++ then easily expose it in R.
Having said that tinyverse basically calls methods written in C and has a beautiful syntax. As Rcpp let’s you write whatever needs to go quickly in c++ then easily expose it in R.