Stop staying you can't put R in prod.
I made a blog post with my thoughts and reactions.
https://josiahparry.com/posts/2023-07-06-r-is-still-fast.html
Stop staying you can't put R in prod.
I made a blog post with my thoughts and reactions.
https://josiahparry.com/posts/2023-07-06-r-is-still-fast.html
@josiah How about maintainability?
Never met a developer who liked R, and to put things into production, you have to work with devs.
The new people coming into data science all know python. Even among older data scientists, you rarely find one that prefers R (unless they're a statistician working in academia).
Who is going to maintain that code after the person who wrote it leaves for another company?
@jrosell quarto also supports python. So it's a hard sell.
The thing R has got going for it is the plots, they are pretty.
I'm sorry, but the rest just lags behind, from the syntax to the ecosystem (except very specific stats packages).
Just having array indexes starting at 1 will make a Dev's skin crawl.
@milesmcbain @orizuru @jrosell
Dev are fragile creature and they cant handle Julia or Fortan (yup index starting at 1 or "pick your number"). Anyway I am always amazed how everyone can have enough confidence to claim something is dead from punk, to relational database or more recently data science.
@josiah @milesmcbain @defuneste @jrosell definitely, those are great, and so are the R plots.
But you were talking about production which, in most industries, you'd never see.