slimv
numcl
slimv | numcl | |
---|---|---|
14 | 9 | |
450 | 625 | |
- | 0.0% | |
3.2 | 0.0 | |
10 months ago | 6 months ago | |
Common Lisp | Common Lisp | |
- | GNU General Public License v3.0 or later |
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slimv
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Does anyone use vim for lisp dev?
I use Vim with slimv, and have for years.
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Portacle - Does it have auto indent?
Maybe you should stick to one new thing at a time. Vim is more than capable of handling Common Lisp. Look at Slimv and Vlime for vim-style SLIME. Focus on CL first. You can come back to Doom / Emacs later.
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What is to go-to environment on Windows for Common LISP development?
Neovim works just fine. I use Neoterm to send-to-repl, here's what my config looks like. Your other options include vlime and slimv. I switched to neoterm because it's simple, explicit, and doesn't create unpredictable windows. Works for any other language just as well.
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From Common Lisp to Julia
https://GitHub.com/jpalardy/vim-slime is a terrible SLIME to be honest! It is not even a SLIME. It just This does not look like SLIME. It just copies text from one text buffer and paste it to another Vim buffer which is probably running a REPL. "Probably" because who knows what the target buffer is running. vim-slime does not care. This is not Superior Lisp Interaction Mode for $EDITOR (SLIME) in any way.
vim-slime does not connect to any Swank server. It does not understanding Lisp s-expressions. It would happily copy any random text into any random REPL and call it job done! Lisp interaction mode is much much more than just copying and pasting text around. A superior lisp interaction mode gives you live debugging, handling conditions, inspecting variables, navigating the stack frames, ... Vim-slime cannot do anything like this because, well, it just copy-pastes stuff around. Vim-slime is a disingenious and misleading name for a project that is not SLIME.
If you really want to use Vim, do yourself a favor and use https://github.com/kovisoft/slimv and experience a true Lisp interaction mode.
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Common Lisp vs Racket
Join me vim brother and don't settle for forcing yourself to use emacs while developing in CL when you don't have to! You even have two vim options! https://github.com/kovisoft/slimv and https://github.com/vlime/vlime with a great comparison of the two: https://susam.net/blog/lisp-in-vim.html
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Is SLIME setup possible for Vim?
I've seen SLIMV recommended as a SLIME alternative for Vim. Like SLIME, SLIMV is a SWANK client.
- Slimv – Superior Lisp Interaction Mode for Vim (“Slime for Vim”)
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What would you consider a modern lisp workflow/toolchain?
I found Vlime to be more updated than slimv and give a smoother experience. With time I've switched to bare neoterm which I highly recommend. CL and lisps in general are designed with a text repl in mind, so this is the method that is guaranteed to work on every obscure CL distribution, and also transfer well to any other REPL-based languages.
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Opening and running functions in Portacle
If you are already familiar with vim you may want to use slimv
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Is anyone programming in lisp?
You need Parinfer. Several versions are available for Vim. It's easier to learn than Paredit and works better with Vim-style editing anyway. Lisp emphasizes interactivity with the REPL. It helps if you can send forms you're editing to the REPL for testing. Try something like slimv.
numcl
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How fast can you multiply matrices using only common lisp?
Is it me or numcl is faster than magicl? Matrix multiplication on magicl with pure lisp backend is
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Rewrite Your Scripts In LISP - with Roswell
Interesting, I will, thanks! I am aware of numcl for CL, but I don't think it is "there" yet :).
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Good Lisp libraries for math
The first that comes to mind is numcl. This works if (i) performance is not seriously a concern, (ii) you are not annoyed by julia-like JIT/JAOT compilation delays, (iii) copy-based slicing won't be a performance issue for you. To be fair, limitation (i) might be overcome by writing a better (simd-based) backend for numcl. numcl is fast, it compiles to fairly good code, but simd can boost the performance by another 4-8 times or so.
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Efficiently/easily sample from a list - any existing alternative?
am I missing something that already exists (numcl / Alexandria / core language, etc?)
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Lisp as an Alternative to Java (2000)
>Either implement numpy equivalent on your own or half of your code is data massaging data between libraries
I haven't tested this but here you go:
https://github.com/numcl/numcl
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Machine Learning in Lisp
Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.
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cbaggers/rtg-math - a selection of the math routines most commonly needed for making realtime graphics in lisp (2, 3 and 4 component vectors, 3x3 and 4x4 matrices, quaternions, spherical and polar coordinates). [2019]
numcl - Numpy clone in Common Lisp. [LGPL3][9].
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SBCL: New in Version 2.1.0
[3] https://github.com/numcl/numcl
What are some alternatives?
vlime - A Common Lisp dev environment for Vim (and Neovim)
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
w3m.vim - w3m plugin for vim
april - The APL programming language (a subset thereof) compiling to Common Lisp.
paredit.vim - Paredit Mode: Structured Editing of Lisp S-expressions
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
vim-sexp-mappings-for-regular-people - vim-sexp mappings for regular people
Petalisp - Elegant High Performance Computing
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
cl-containers - Containers Library for Common Lisp
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
magicl - Matrix Algebra proGrams In Common Lisp.