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Based on our record, Julia seems to be a lot more popular than Steel Bank Common Lisp. While we know about 114 links to Julia, we've tracked only 5 mentions of Steel Bank Common Lisp. 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 / 8 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: 11 months ago
Tangential: if we're talking Lisp and native code speed, Steel Bank Common Lisp (by default) compiles everything to machine code. [0] https://sbcl.org. - Source: Hacker News / 7 months ago
Q5: Get http://sbcl.org/. Install https://quicklisp.org/. SBCL is the implementation that's the lowest friction, and Quicklisp is a package manager that's almost* painless. Source: 12 months ago
That is what we do in Lisp. Try sbcl if you haven't tried it yet. Source: about 1 year ago
I want to add the sbcl-doc subpackage (the manual for SBCL in GNU Info format), but first I need to understand how to write package definitions. As far as I understand there are the "templates" which are shell scripts that describe how a package is to be built and installed, and xbps-src is a shell script which can process these templates to actually carry out the work. Source: over 2 years ago
> Lisp looks like Python, that's far from C, and usually it's a "interpreted" language, far from machine the currently most popular Common Lisp implementation is based around an optimizing native code compiler. That compiler has its roots in the early 80s. See https://sbcl.org . It's far away from being 'interpreted'. - Source: Hacker News / almost 3 years ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.
GNU Octave - GNU Octave is a programming language for scientific computing.
CMU Common Lisp - CMUCL is a high-performance, free Common Lisp implementation.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
CLISP - CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible.