swift-async-algorithms VS book

https://github.com/apple/swift-async-algorithms

Requires Xcode 14, which is still in beta and cannot push to the App Store.

Also, Apple fucked their back port badly. It’s supposedly fixed now, but if you built an app that used async/await anywhere in Xcode 13.X and a user installed running iOS 12/13/up to 14.5 they’d crash on launch.

So I personally wouldn’t trust it, and instead just push to raise your iOS minimum. I’ve had no problems requiring iOS15 in my projects over 1M installs

I don't think they're wrong

the Jane Street side are quite prolific with blog posts etc

as a newcomer to OCaml one of the first, and nicer-looking, intro resources you'll likely encounter is the Real World OCaml book https://dev.realworldocaml.org/ which unfortunately does everything using Base instead of the stdlib

Personally that didn't sit right to me and I prefer to use the stdlib by default (which seems fine and not in need of a wholesale replacement)

This is an oldie but a goodie.

OCaml has, unlike Standard ML, grown quite a lot since this page was made.

In particular, the section "Standard libraries", I'd recommend looking at:

https://dev.realworldocaml.org/

A couple of places where the comparison is outdated:

- OCaml using Base [1] allows for result-type oriented programming

- OCaml using Base uses less language magic and more module system

While there was and is truth to the distinction that SML is for scientists and OCaml is for engineers, this dichotomy is getting dated: OCaml is under active development, which means that scientists who want better tooling will choose OCaml. For example, 1ML [2] by Andreas Rossberg was built in OCaml.

[1]: https://opensource.janestreet.com/base/

In general, better read the second edition which is updated to use current Core versions. A print version was published recently.

Elm is not dead. It just prefers a slow release schedule but is still actively worked on in the background.

That said, you might want to check out OCaml for general purpose programming. Super fast compiler, great performance, can target both native and JS.

It is easier to use than Haskell due to defaulting to eager evaluation (like most languages) strategy instead of laziness and being generally more pragmatic, offering more escape hatches into the imperative world if need be. Plus great upward trajectory with lot's of cool stuff like an effects system and multi-core support coming.

Real World Ocaml is a decent resource: https://dev.realworldocaml.org/

There is a PR on the main repo.

I've only been through the online version so I don't know if this is true of the print copy as well, but it felt very... I don't know, abridged, I guess? There's some good info in there, but it glosses over a lot of things as well, and when I first went over it I didn't feel like I came away with a good understanding of OCaml. I think it makes a good second book choice after reading the CS3110 one, though, because the abridged explanations act like a nice refresher on what you've already learned and read before adding extra detail.

There is Real World Ocaml. It's written by one of the lead developers at Jane Street and a professor.