The fact that R has such buy-in despite being a rather awful programming language (a friend of mine worked on the next Lisp-like version of R under Ross Ihaka, and the next version is based on the fact that current R is a bit awful) is precisely because it offers such convenience to non-programmers.
In my sister company, they have data scientists, and data engineers. The data scientists write their algorithms in the language they're most comfortable with (typically JS), and the data engineers rewrite to perform efficiently in the application that's applying them.
Data scientist and programmer are two very different specialisations.
In my sister company, they have data scientists, and data engineers. The data scientists write their algorithms in the language they're most comfortable with (typically JS), and the data engineers rewrite to perform efficiently in the application that's applying them.
Data scientist and programmer are two very different specialisations.