book
ocaml
book | ocaml | |
---|---|---|
18 | 119 | |
1,160 | 5,162 | |
0.4% | 0.7% | |
2.7 | 9.9 | |
3 months ago | 6 days ago | |
OCaml | OCaml | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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book
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OCaml: a Rust developer's first impressions
Some of your questions might be answered in this book (free online version): https://dev.realworldocaml.org/
- Compiler Development: Rust or OCaml?
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Nix-Powered Development with OCaml
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)
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Comparing Objective Caml and Standard ML
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A couple of places where the comparison is outdated: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/
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Resource recommendations for a beginner.
Real World OCaml (version 2 is finally out) is also pretty good.
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OCAML HELP!
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.
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Teach Yourself Programming in Ten Years
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.
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Help getting started with Ocaml
In general, better read the second edition which is updated to use current Core versions. A print version was published recently.
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learning ocaml this semester.
I recommend https://dev.realworldocaml.org/ and https://cs3110.github.io/textbook/cover.html
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Functional Reactive Programming
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/
ocaml
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Autoconf makes me think we stopped evolving too soon
> OCaml’s configure script is also “normal”
If that’s this OCaml, it has a configure.ac file in the root directory, which looks suspicious for an Autotools-free package: https://github.com/ocaml/ocaml
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The Return of the Frame Pointers
You probably already know, but with OCaml 5 the only way to get flamegraphs working is to either:
* use framepointers [1]
* use LBR (but LBR has a limited depth, and may not work on on all CPUs, I'm assuming due to bugs in perf)
* implement some deep changes in how perf works to handle the 2 stacks in OCaml (I don't even know if this would be possible), or write/adapt some eBPF code to do it
OCaml 5 has a separate stack for OCaml code and C code, and although GDB can link them based on DWARF info, perf DWARF call-graphs cannot (https://github.com/ocaml/ocaml/issues/12563#issuecomment-193...)
If you need more evidence to keep it enabled in future releases, you can use OCaml 5 as an example (unfortunately there aren't many OCaml applications, so that may not carry too much weight on its own).
[1]: I haven't actually realised that Fedora39 has already enabled FP by default, nice! (I still do most of my day-to-day profiling on an ~CentOS 7 system with 'perf --call-graph dwarf', I was aware that there was a discussion to enable FP by default, but haven't noticed it has actually been done already)
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Top Paying Programming Technologies 2024
11. OCaml - $91,026
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OCaml: a Rust developer's first impressions
> It partially helps since it forces you to have types where they matters most: exported functions
But the problém the OP has is not knowing the types when reading the source (in the .ml file).
> How would it feels like to use list if only https://github.com/ocaml/ocaml/blob/trunk/stdlib/list.ml was available,
If the signature where in the source file (which you can do in OCaml too), there would be no problem - which is what all the other (for some definition of "other") languages except C and C++ (even Fortran) do.
No, really, I can't see a single advantage of separate .mli files at all. The real problém is that the documentation is often worse too, as the .mli is autogenerated and documented afterwards - and now changes made later in the sources need to be documented in the mli too, so anything that doesn't change the type often gets lost. The same happens in C and C++ with header files.
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Bringing more sweetness to ruby with sorbet types 🍦
If you have been in the Ruby community for the past couple of years, it's possible that you're not a super fan of types or that this concept never passed through your mind, and that's totally cool. I myself love the dynamic and meta-programming nature of Ruby, and honestly, by the time of this article's writing, we aren't on the level of OCaml for type checking and inference, but still, there are a couple of nice things that types with sorbet bring to the table:
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What is gained and lost with 63-bit integers? (2014)
Looks like there have been proposals to eliminate use of 3 operand lea in OCaml code (not accepted sadly):
https://github.com/ocaml/ocaml/pull/8531
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Notes about the ongoing Perl logo discussion
An amazing example is Ocaml lang logo / mascot. It might be useful to talk with them to know what was the process behind this work. The About page camel head on Perl dot org header is also a pretty good example of simplification, but it's not a logo, just a friendly illustration, as the O'Reilly camel is. Another notable logo for this animal is the well known tobacco industry company, but don't get me started on that (“good” logo, though, if we look at the effectiveness of their marketing).
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What can Category Theory do?
Haskell and Agda are probably the most obvious examples. Ocaml too, but it is much older, so its type system is not as categorical. There is also Idris, which is not as well-known but is very cool.
- Playing Atari Games in OCaml
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Bloat
That does sound problematic, but without the code it is hard to tell what is the issue. Typically, compiling a 6kLoc file like https://github.com/ocaml/ocaml/blob/trunk/typing/typecore.ml takes 0.8 s on my machine.
What are some alternatives?
swift-async-algorithms - Async Algorithms for Swift
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
awesome-ocaml - A curated collection of awesome OCaml tools, frameworks, libraries and articles.
VisualFSharp - The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio
reason - Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems
dune - A composable build system for OCaml.
learn-you-a-haskell - “Learn You a Haskell for Great Good!” by Miran Lipovača
TradeAlgo - Stock trading algorithm written in Python for TD Ameritrade.
ocaml-containers - A lightweight, modular standard library extension, string library, and interfaces to various libraries (unix, threads, etc.) BSD license.
melange - A mixture of tooling combined to produce JavaScript from OCaml & Reason
onelinerizer - Shamelessly convert any Python 2 script into a terrible single line of code
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266