book VS reason

Some of your questions might be answered in this book (free online version): https://dev.realworldocaml.org/

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A couple of places where the comparison is outdated: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/

Real World OCaml (version 2 is finally out) is also pretty good.

Real World OCaml is also a good resource, geared more towards people who already have some programming experience and want a more industry/practical focused learning experience.

ocaml.org’s new website is packed with lots of great early intros.

most learners eventually gravitate towards Real World OCaml https://dev.realworldocaml.org/ for additional learning.

Unfortunately, the learning resources for different domains out there isn’t as highly curated or prolific as, say, rust. If you do web dev like me, it takes a bit more work to find the tools and put them together. But the language itself lends itself well to systems level programming.

Fortunately, the forum is a great help.

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

I recommend https://dev.realworldocaml.org/ and https://cs3110.github.io/textbook/cover.html

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/

Hey HN, at Ahrefs we have been working on an online book that hopefully helps React developers get up and running with Melange, an OCaml to JavaScript compiler. You can read more about Melange here: https://melange.re/.

There are still a few chapters that we'd like to add before considering it "complete", but it might be already helpful for some folks out there, that's why we decided to publish it early.

The book uses Reason syntax to implement React components using ReasonReact components. You can read more about both in:

https://reasonml.github.io/

ReScript is "Fast, Simple, Fully Typed JavaScript from the Future". What that means is that ReScript has a lightning fast compiler, an easy to learn JS like syntax, strong static types, with amazing features like pattern matching and variant types. Until 2020 it was called "BuckleScript" and is closely related to ReasonML.

This tracks with how I've seen "normal" languages converge on similar, flawed imitations of better type systems through tools and repurposed syntax. Thank you for confirming.

Do you have any recommendations or warnings regarding general languages which reach in the opposite direction? Reason[1] and F#[2] are both examples: they attach pre-existing ecosystems and compile-for-$PLATFORM tools to OCaml-like typing.

OCaml itself is also intriguing for personal projects. However, I'm worried the "GPL" in its standard library's LGPL license might scare people despite both the linking exception and Jane Street's MIT alternative.

1. https://reasonml.github.io/

ReasonML purely as a syntax layer on top of OCaml is still being updated and released[1]. Incidentally, I'm one of the maintainers of that project too :-)

With this Melange release, we're hoping to somewhat revive ReasonML and channel some folks back to the community from the perspective of a vertically integrated platform that has seen major investment in the past few years.

[1]: https://github.com/reasonml/reason

Why not use https://reasonml.github.io/ instead? Or just use Typescript?

Quieted down, but I depend on projects with worst graphs:

https://github.com/reasonml/reason/graphs/contributors

There is also reasonml for Web development.