Youre wrong. Python is outpacing R in usage. Every metric you can find proves it. R also has fundamental issues and lacks serious development.
Python is the first language many people are exposed to today. It has a library and tooling for every use case.
Also try:
gsub('serious', 'hyped', x)
That's a normal follow-up question that you should be able to answer. Otherwise, why are you even commenting?
Any criticism brought up you'd dismiss. Heres one: lack of native 64 bit integers.
I know it's not always easy to extricate oneself but it's helpful to remember that the only way to 'win' is to stop.
If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.
I know it's not always easy to extricate oneself but it's helpful to remember that the only way to 'win' is to stop.
If you wouldn't mind reviewing https://news.ycombinator.com/newsguidelines.html and taking the intended spirit of the site more to heart, we'd be grateful.
"Does what it intends to do reasonably well" is going to be widely subjective, depending on whether the user's use-case is statistical/life-sciences vs more general purpose coding and relying on many packages; prototyping/experimentation vs production code; whether the user uses base-R, or tidyverse/data.table, etc.
Here are two of those many posts:
* An opinionated view of the Tidyverse “dialect” of the R language (July 5, 2019) https://news.ycombinator.com/item?id=20362626
* The R programming language: The good, the bad, and the ugly (epatters.org, 2018) https://news.ycombinator.com/item?id=35571659 -> https://www.epatters.org/post/r-lang/
If you check e.g. the journal of open source software (which does not have much ML/AI bias), most of the papers are python, with an occasional R and julia submission.