Based on our record, Julia should be more popular than Clojure. It has been mentiond 114 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.
I'm really not fond of that agpt landing page. So many red flags; the AI-generated background, mailing letter box with accompanying email-beggar text, the Discord button (!!!) being given as much space as the Github repo click-through... it's a mess. The whole website feels more boilerplate than content. I mean, look at these quotes! > With the help of the incredible open-source community, we’re making... - Source: Hacker News / 9 months ago
I’m wondering if there are any attempts for a ROS2 client library for Julia(lang)? I very much like the concepts of Julia and would like to use it in my robotics applications. I believe, that writing code in Julia is very efficient and productive. As a robotics engineer and researcher, I would definitively appreciate the possibility to use ROS2 with Julia. Source: 9 months ago
Kevin is a senior research scientist (read: fancy postdoc) at Wellesley College. He has a PhD in immunology, but transitioned to microbial genomics after graduate school, and now spends most of his time writing code (ask me about julia). His first postdoc was looking at the microbes that grow on the outer surface of cheese (it's a cool model system for studying microbial communities - here's the paper) and now... Source: 9 months ago
Julia is a great alternative in terms of raw speed/performance (not a compatible language). Source: 11 months ago
If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU. Source: 12 months ago
For the rest of this post I’ll list off some more tactical examples of things that you can do towards this goal. Savvy readers will note that these are not novel ideas of my own, and in fact a lot of the things on this list are popular core features in modern languages such as Kotlin, Rust, and Clojure. Kotlin, in particular, has done an amazing job of emphasizing these best practices while still being an... - Source: dev.to / 1 day ago
This article will explain how to write a simple service in Clojure. The sweet spot of making applications in Clojure is that you can expressively use an entire rich Java ecosystem. Less code, less boilerplate: it is possible to achieve more with less. In this example, I use most of the libraries from the Java world; everything else is a thin Clojure wrapper around Java libraries. - Source: dev.to / 14 days ago
I have a tangential question that is related to this cool new feature. Warning: the question I ask comes from a part of my brain that is currently melted due to heavy thinking. Context: I write a fair amount of Clojure, and in Lisps the code itself is a tree. Just like this F# parallel graph type-checker. In Lisps, one would use Macros to perform compile-time computation to accomplish something like this, I think.... - Source: Hacker News / 6 months ago
As an analogy - my face hasn't changed all that much in a past few years, and I haven't changed my profile picture in those few years. Does it really mean that I'm unmaintained/dead? > Where can I find latest documentation [...]? The answer is still https://clojure.org/. And https://clojuredocs.org/ but it's community-maintained so might occasionally be missing some things right after they're released. E.g. As of... - Source: Hacker News / 8 months ago
As a Java/Scala user you should check out Clojure! It is highly recommended (https://clojure.org). Source: about 1 year ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
GNU Octave - GNU Octave is a programming language for scientific computing.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Rust - A safe, concurrent, practical language
Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.