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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.

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