opendylan
magicl
opendylan | magicl | |
---|---|---|
15 | 14 | |
440 | 226 | |
0.5% | 0.4% | |
8.7 | 5.4 | |
3 days ago | 6 months ago | |
Dylan | Common Lisp | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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opendylan
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The Deuce Editor Architecture
Yes those were inspired by deuce, here is open dylan's version: https://github.com/dylan-lang/opendylan/tree/master/sources/...
- Qualifying as a Lisp
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Lisp in Space
Dylan, which was originally created by Apple: https://opendylan.org/
- Dylan is an object-functional language originally created by Apple
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Want to learn lisp?
OpenDylan kept being developed for a long time even after Apple lost interest, and they still do releases every once in a blue moon, but the community is tiny, and nobody is doing anything with Dylan (save for the compiler itself).
- GPU vendor-agnostic fluid dynamics solver in Julia
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Why Lisp?
what is this fairly close resemblance? Parentheses?
There are a bunch of Lisp like languages without s-expression syntax: Lisp 2, Logo, MDL, RLISP, CLISP (not the CL implementation), Dylan, Racket with its new syntax (Racket2, Rhombus), Skill, ...
For example Dylan is based on Scheme & CLOS + a different syntax + some other influences. https://opendylan.org
https://github.com/dylan-lang/opendylan/blob/master/sources/...
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Will Apple make up a new programming language for its rumored VR/AR headset, or use Swift?
If they go with another language, it had damn well better be Dylan. Apple already designed it and screwed up when they abandoned it back then (circa Java).
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A language you feel the most productive with?
Carp, Lux and Dale are 3 I'm familiar with.There's also Dylan, though that one dropped its parentheses. But if we go by the brackets, technically, we can argue that any expression-based languages is a Lisp. I once wrote a Lisp to JS transpile whose output had more parens than the input. :)
- Dylan is a Programming Language??? AMAZING!
magicl
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A tutorial quantum interpreter in 150 lines of Lisp
(Link didn't work for me)
https://github.com/quil-lang/magicl/blob/master/src/high-lev...
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Why Lisp?
use MAGICL. [1] It is optionally and transparently accelerated by BLAS/LAPACK.
[1] https://github.com/quil-lang/magicl/blob/master/doc/high-lev...
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How fast can you multiply matrices using only common lisp?
Maybe have a look at how magicl does this?
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A software engineer's circuitous journey to calculate eigenvalues
This is essentially the first option, which is already supported by MAGICL by loading MAGICL/EXT-LAPACK [1].
[1] https://github.com/quil-lang/magicl#extensions
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Uncle Stats Wants You
I think what the magicl team has done is brilliant - allowing multiple implementations is awesome.
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Good Lisp libraries for math
Second up is magicl, especially useful if performance is a concern. This might not be as extensive as numcl, but it's been battle tested in the industry over the last decade or so. Because this uses generic functions, so long as you are using not-very-small arrays, performance should not be a concern for you. And even if you are, you could write your own functions that use the low-level functions that magicl's backends define. Otherwise performance can be at par with numpy.
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Why is python numpy *so* much faster than lisp in this example?
This Dev How-To describes (I hope in enough detail) how to add these specialized routines to MAGICL.
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CL-AUTOWRAP generated (C)BLAS wrapper in QUICKLISP
I agree... and I do don't want be the person who has not rallied. I just took a look at guicho's issue from 2019. And here, you yourself have admitted that the high level interface is less than ideal and needs more work. However, the very point that magicl is an industry standard could imply that potentially radical backward-incompatible changes can be hard. But, honestly, I want to discuss this, time permitting!
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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Anybody using Common Lisp or clojure for data science
Common Lisp is a great language to build new tools for data science, but currently has pretty awful library support existing data science workflows. Common Lisp is sorely lacking in high-quality statistics, plotting, and sparse arrays. There’s been a long work-in-progress library to bring flexible and high-performance linear algebra to Lisp, but it needs more contributors.
What are some alternatives?
lux - The Lux Programming Language
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
ergolib - A library designed to make programming in Common Lisp easier
py4cl - Call python from Common Lisp
WordIDE - A tool that helps you write code in your favorite IDE: your word processor!
criterium - Benchmarking library for clojure
femtolisp - a lightweight, robust, scheme-like lisp implementation
Petalisp - Elegant High Performance Computing
gambit - Gambit is an efficient implementation of the Scheme programming language.
hash-array-mapped-trie - A hash array mapped trie implementation in c.
LispSyntax.jl - lisp-like syntax in julia
april - The APL programming language (a subset thereof) compiling to Common Lisp.