Based on our record, Rust should be more popular than MLton. It has been mentiond 48 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Once I got the parser ready in OCaml, I thought I port it to Standard ML, since it belong to the same ML language family. I was also curious on how well mlton could optimise it. The language lacks custom let bindings, so I resorted to use Result.bind manually. This makes code much less readable and more verbose. The standard library also lacks result type, so I had to come up with my own simple implementation.... - Source: dev.to / over 2 years ago
If you’re fine with tracing GC (which depends on the situation, of course), Standard ML is a perfectly boring language (that IIUC predated and inspired Caml) and MLton[1] is a very nice optimizing compiler for it. The language is awkward at times (in particular, the separate sublanguage of modules can be downright unwieldy), and the library has some of the usual blind spots such as nonexistent Unicode support... - Source: Hacker News / almost 3 years ago
Unfortunately, I haven't found a ton of "easily-digestible" and, at the same time, comprehensive guides on compiling functional languages. Generally you'll find a mix of blog posts/class notes/papers covering a single step. Some resources I like: - Andrew Kennedy's 2007 paper Compiling with Continuations, Continued [1]. This one is the most clear IMO - Andrew Appel's Compiling with Continuations book... - Source: Hacker News / about 3 years ago
More broadly, they can be fast even without such extensions if they aggressively pursue optimization opportunities afforded by static typing, like MLton for example, but that also impacts compilation performance negatively. Source: over 3 years ago
According to the OP, it's from http://mlton.org/ (see https://coalton-lang.github.io/20211010-introducing-coalton/#acknowledgements ). - Source: Hacker News / over 3 years ago
Hello! Rust has very useful tool, named Cargo. It helps you compile code, run program, run tests and benches, format code using cargo fmt and lint it using clippy. In this post we'll talk abou Clippy. - Source: dev.to / 3 months ago
What are we going to do today? We're going to build a minimalist blog using Zola (built with Rust, btw), AWS CDK, Tailwind CSS, and a tiny bit of Typescript. - Source: dev.to / 3 months ago
Effortlessly remove up to 98% of bloatware apps from your Android device without needing root access. Developed in Rust for efficiency and reliability. - Source: dev.to / 6 months ago
One language that really gave me that feeling was Gleam, it managed to wrap everything I liked about languages such as JS, Rust and even Java into one brilliant type-safe package. Not for a long time before I met Gleam had I wanted to try creating so many different things just to get to the bottom of how this language ticked, as it were. - Source: dev.to / 8 months ago
Let's dive back into Rust! This time we're going to be going through the lesson called "Enums and Pattern Matching". We're going to be looking at inferring meaning with our data, how we can use match to execute different code depending on input and finally we'll have a look at if let. - Source: dev.to / about 1 year ago
Poly/ML - The Poly/ML implementation of Standard ML – full multiprocessor support in the thread library and garbage collector, interactive debugger, fast compiler.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
OCaml - (* Binary tree with leaves carrying an integer.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Guile - Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language for the GNU operating system.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions