opendylan
Oceananigans.jl
opendylan | Oceananigans.jl | |
---|---|---|
15 | 4 | |
440 | 878 | |
0.5% | 1.0% | |
8.7 | 9.5 | |
3 days ago | 4 days ago | |
Dylan | Julia | |
GNU General Public License v3.0 or later | MIT 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!
Oceananigans.jl
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Julia 1.10 Released
I think it’s also the design philosophy. JuMP and ForwardDiff are great success stories and are packages very light on dependencies. I like those.
The DiffEq library seems to pull you towards the SciML ecosystem and that might not be agreeable to everyone.
For instance a known Julia project that simulates diff equations seems to have implemented their own solver
https://github.com/CliMA/Oceananigans.jl
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GPU vendor-agnostic fluid dynamics solver in Julia
I‘m currently playing around with Oceananigans.jl (https://github.com/CliMA/Oceananigans.jl). Do you know how both are similar or different?
Oceananigans.jl has really intuitive step-by-step examples and a great discussion page on GitHub.
- Supercharged high-resolution ocean simulation with Jax
What are some alternatives?
lux - The Lux Programming Language
MATDaemon.jl
ergolib - A library designed to make programming in Common Lisp easier
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
WordIDE - A tool that helps you write code in your favorite IDE: your word processor!
MITgcm - M.I.T General Circulation Model master code and documentation repository
femtolisp - a lightweight, robust, scheme-like lisp implementation
Metal.jl - Metal programming in Julia
gambit - Gambit is an efficient implementation of the Scheme programming language.
julia-ml-from-scratch - Machine learning from scratch in Julia
LispSyntax.jl - lisp-like syntax in julia
XLA.jl - "Maybe we have our own magic."