awesome-cl
hissp
awesome-cl | hissp | |
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65 | 29 | |
2,476 | 335 | |
- | - | |
8.7 | 9.1 | |
11 days ago | 4 months ago | |
Makefile | Python | |
GNU General Public License v3.0 or later | Apache 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-cl
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3 years of fulltime Rust game development, and why we're leaving Rust behind
I know you're not asking for recommendations, but Lisp, particularly SBCL, really seems to check all your boxes. I say this as someone who generally reaches for Scheme when it comes to Lisps too.
There are a few game engines[0] for CL, but most of them seem to be catered specifically to 2D games.
[0] https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...
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KamilaLisp – A functional, flexible and concise Lisp
Hello, a single counter-example I hope https://lispcookbook.github.io/cl-cookbook/editor-support.ht...
(see more from https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...
https://cl-community-spec.github.io/pages/index.html
and some more)
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Why Is Common Lisp Not the Most Popular Programming Language?
Everyone, if you don't have a clue on how's Common Lisp going these days, I suggest:
https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (https://www.reddit.com/r/lisp/comments/107oejk/these_years_i...)
A curated list of libraries: https://github.com/CodyReichert/awesome-cl
Some companies, the ones we hear about: https://github.com/azzamsa/awesome-lisp-companies/
and oh, some more editors besides Emacs or Vim: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (Atom/Pulsar support is good, VSCode support less so, Jetbrains one getting good, Lem is a modern Emacsy built in CL, Jupyter notebooks, cl-repl for a terminal REPL, etc)
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Common Lisp: An Interactive Approach (1992) [pdf]
check out the editor section, there's more than Emacs these days: https://lispcookbook.github.io/cl-cookbook/editor-support.ht...
- https://github.com/CodyReichert/awesome-cl for libraries
- https://www.classcentral.com/report/best-lisp-courses/#ancho...
- a recent overview of the ecosystem: https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (shameless plug, on HN: https://news.ycombinator.com/item?id=34321090)
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Spinneret: A modern Common Lisp HTML generator
More HTML generators for CL: https://github.com/CodyReichert/awesome-cl#html-generators-a... there are lispy ones (Spinneret), Django-like ones (Djula, I like it, easy to use and extend), HTML-based allowing for inline Lisp code (Ten), JSX-like ones (lsx, markup), and more.
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Common Lisp JSON parser?
https://github.com/CodyReichert/awesome-cl is usually a good place to find recommendations. Jzon is pretty good.
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All of Mark Watson's Lisp Books
> obstacles add up
I actually agree. It wasn't smooth for me to ship my first CL app. It's all better now (more tools, more documentation, more blog posts from several people, more SO questions and answers!).
> performant
SBCL is in the same ballpack of C, Rust or Java in many benchmarks.
In this article series, the author writes the same program in CL, Rust and Java. In fact, he copy-pastes a PG snippet from 30 years ago. This snippet beats Rust and Java in LOC and speed. But, yeah, he wasn't writing super efficient Rust code, so after many discussions, pull requests and sweating, the Rust code became the most performant. https://renato.athaydes.com/posts/revisiting-prechelt-paper-... It didn't take work to make the CL code performant, more so for the Rust one ;)
a benchmark after sb-simd vectorization: https://preview.redd.it/vn5juu36v2681.png?width=715&format=p... (https://www.reddit.com/r/Common_Lisp/comments/riedio/quite_a...)
> good tools for networking, for writing concurrent or asynchronous code, for graphics,
I refer the reader to https://github.com/CodyReichert/awesome-cl but yes, CL won't have the best libraries in some scenarii (GUI? Tk libs are good, we have Gtk4, a Qt5 library used in production© by a big player but difficult to install etc)
> it doesn't give you a good package manager or means of distributing code
Quicklisp is neat, with limitations, that can be addressed with Qlot, ql-https, or CLPM or the newest ocicl.
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How to Understand and Use Common Lisp
It's a good book!
Modern companions would be:
- the Cookbook: https://lispcookbook.github.io/cl-cookbook/ (check out the editors section: Atom/Pulsar, VSCode, Sublime, Jetbrains, Lem...)
- https://github.com/CodyReichert/awesome-cl to find libraries
Also:
- https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/
- https://news.ycombinator.com/item?id=34321090 2022 in review
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Why Lisp?
> static strong typing
Alright, here is it: https://github.com/coalton-lang/coalton/
> small efficient native binaries
The numbers are: with SBCL's core-compression, a web app with dozens on dependencies will weight ±30 to 40MB. This includes the compiler, the debugger, etc. Without core compression, we reach ±150MB.
> The actor runtime?
the actor library: https://github.com/mdbergmann/cl-gserver
> couldn't find a way to make money with it. I suspect many other programmers are in my boat.
Alright. Some do, that's life. Yes, some companies go with CL even in 2023 (https://lisp-journey.gitlab.io/blog/lisp-interview-kina/, they released https://github.com/KinaKnowledge/juno-lang lately; Feetr (finance): https://twitter.com/feetr_io/status/1587182923911991303)
https://github.com/azzamsa/awesome-lisp-companies/
> Give us an HTTP (1.x & 2.0) and WebSockets libraries
How so? We have those libraries. HTTP/2: https://github.com/zellerin/http2/
https://github.com/CodyReichert/awesome-cl
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Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
https://leanpub.com/lovinglisp -- this one is great, and the first thing I recommend
https://lispcookbook.github.io/cl-cookbook/ -- also great and up to date
https://awesome-cl.com/ -- for anything else.
hissp
- Hissp
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2 line tic tac toe
Hissp is a Python library that can compile a whole program into one Python expression.
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What's the most hilarious use of operator overloading you've seen?
If you want Python to be as customizable as Lissp, check out Hissp (and Hebigo).
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Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Hissp is really cool for metaprogramming Python. There's also macropy, but it's harder to use.
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Lush – Lisp-like language for deep learning designed by Yann LeCun
I prefer https://github.com/gilch/hissp, where Hy has to use shims to pretend statements are expressions, Hissp just targets the expression subset in the first place. (though as you mentioned, hy has a lot of literature and support around it, where as you're going to have to find your own way around hissp)
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A Python-compatible statically typed language erg-lang/erg
No shortage of options, e.g. Dg, Mochi, Coconut, and Hebigo (based on Hissp[1]).
[1]: https://github.com/gilch/hissp
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Other than having a wider range of libraries and beingthus being more "general purpose" and "practical" is there anything that makes Python an intrinsically better programming language than Lisp?
If you want Lisp metaprogramming plus Python ecosystem, check out Hissp
- Lisp.py
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What are some amazing, great python external modules, libraries to explore?
Hissp is really interesting. Read through the docs and you'll understand Python more deeply. It works well with Toolz and Pyrsistent.
- Why Hy?
What are some alternatives?
cl-str - Modern, simple and consistent Common Lisp string manipulation library.
hy - A dialect of Lisp that's embedded in Python
awesome-lisp-companies - Awesome Lisp Companies
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
libpython-clj - Python bindings for Clojure
Petalisp - Elegant High Performance Computing
ocaml - The core OCaml system: compilers, runtime system, base libraries
femtolisp - a lightweight, robust, scheme-like lisp implementation
clog - CLOG - The Common Lisp Omnificent GUI
incanter - Clojure-based, R-like statistical computing and graphics environment for the JVM