These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
@mstellaluna it’s kind of silly to reinvent wheels. Even in the case of R—the canonical language for statistical programming—an interface approach is used rather than reinventing certain deep learning libraries that already exist in python. R also interfaces well with a lot of other things.
Of course any Turing complete language can be used to accomplish whatever you want in software in general, including DS. But it’s hard enough as it is to develop and deploy useful applications in DS. I don’t see the game in adding more friction to that process by using a language that lacks the robustness other languages already have in that domain. But I’m kind of ranting now so I’ll stop lol.