Netsurf isn't fun on many websites but it should be enough for rendering HTML content from RSS, no? Terminal emulators and lynx/elinks/links/w3c work, too. And terminal RSS readers. HTML rendering is also possible with KOreader which runs well on rM2, come to think about it.
Just in case someone reads this far and sees blubber's confident "No." Blubber is definitely wrong here. I used to do all of my programming in R. Throw the question into an LLM if you're wondering if R has a package like ___ in python.
I know people who used Visual Basic for all of their programming. I'd say No either way unless people explained to me without bursting out into laughter that they also have extensive experience with, e.g., Kotlin, Rust, C#, Java etc. and still prefer VB or R for non-trivial programs.
Of course R isn't a complied language and probably not the same category as C/Rust as systems language but is not in the same category as VB. R is a serious scientific programming language used in non-trivial programs for industrial applications. See Posit's customers. I suggest John Chambers ( https://en.wikipedia.org/wiki/John_Chambers_(statistician) ) book, he explain how he designed S language, R's grandfather so to speak, Software for Data Analysis ( https://link.springer.com/book/10.1007/978-0-387-75936-4 ).
This isn't about compilation vs interpretation. R is simply badly designed as a programming language. This doesn't change just because its inventor wrote a book.
blubber, I think there might be some misconceptions. Just for the record.
R is not actually competing with those languages. R's design purpose is different. it is a general purpose computational language for scientists. There are FFIs (Foreign Function Interfaces) for all those languages.
"The reason you can use this simpler syntax in R is because it’s non-standard-evaluation ..."
So it actually is about Python vs R.
That said, while this kind of non-standard evaluation is nice when working interactively on the command line, I don't think it's that relevant when writing code for more elaborated analyses. In that context, I'd actually see this as a disadvantage of R because you suddenly have to jump through loops to make trivial things work with that non-standard evaluation.
The increasing prevalence of non-standard evaluation in R packages was one of the major reasons I switched from R to python for my work. The amount of ceremony and constant API changes just to have something as an argument in a function drove me mad.
Yeah, this was so very very painful. I once ended up maintaining a library that basically used all the different NSE approaches, which was not very much fun at all.
Like, that's funny. But asking yourself that question might just be a step toward answering it. I grew up around a lot of autistic kids who had to train themselves to verbalize anything, but also to restrain themselves from verbalizing random thoughts. Then you reach an age where you start to spew out everything in words, and you have to learn that putting something into language too soon can strip it of its actual meaning and ossify it before you have a chance to fully examine it.
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