Based on our record, Django should be more popular than MLton. It has been mentiond 15 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
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / 10 months ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 2 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 3 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 3 years ago
Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 3 years ago
Poly/ML - The Poly/ML implementation of Standard ML – full multiprocessor support in the thread library and garbage collector, interactive debugger, fast compiler.
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OCaml - (* Binary tree with leaves carrying an integer.
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