coalton
py4cl
coalton | py4cl | |
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84 | 21 | |
991 | 223 | |
1.8% | - | |
8.4 | 2.3 | |
6 days ago | 6 months ago | |
Common Lisp | Common Lisp | |
MIT License | GNU General Public License v3.0 or later |
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coalton
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How to Write a (Lisp) Interpreter (In Python)
It's still… not the same. In CL (and specially with SBCL), we get compile time (type) errors and warnings at the blink of an eye, when we compile a single function with a keystroke (typically C-c C-c in Slime).
And there's also been improvement, see Coalton for a ML on top of CL. (https://github.com/coalton-lang/coalton/)
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Typing Haskell in Haskell
For the parenthetically inclined among us, there's also an implementation in Coalton: <https://github.com/coalton-lang/coalton/tree/main/examples/t...>
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Embracing Common Lisp in the Modern World
Common Lisp has bad marketing (even OCaml has Twitch streamers and "influencers" now), and bad support for general editors, both of which make it a non-starter for most curious people who have an afternoon to try something. But behind all that is magnificent activity for those who got over the initial potential energy barrier. Just to give some examples:
1. SBCL, the most popular open source implementation of Lisp, is seeing potentially two new garbage collectors. One of them is a parallel collector written by a university student (!!) which blows my mind.
2. SBCL has better and better support for deploying Liwp as a C-compatible shared library, using SBCL-LIBRARIAN. It makes it play nicer with other applications in C and Python.
3. Coalton is another exciting development that allows a Haskell type system and "Lisp-1" functional programming in Common Lisp. That means type classes (or traits), something Lisp hasn't really had a proper notion of, and full type inference. Persistent sequences based off of RRB-trees were recently merged, and interestingly, they're implemented purely in Coalton [1]. That means Clojure-like seqs.
It's interesting to see users of Lisp generating the above ideas and libraries, not a special in-group of committees, "official" developers, etc.
[1] https://github.com/coalton-lang/coalton/blob/main/library/se...
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Steel – An embedded scheme interpreter in Rust
Use an editor that auto-inserts parens and that indents the code correctly. Now nothing bad can happen. And the parens are used to edit code structurally.
re typing: Coalton brings Haskell-like typing on top of CL. https://github.com/coalton-lang/coalton/ Other lisps are typed: typed racket, Carp… and btw, SBCL's compiler brings some welcome type warnings and errors (unlike Python, for instance).
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Show HN: Collaborative Lisp Coding on Discord
If you like type safety, this project would be perfect for using https://coalton-lang.github.io/ so your REPL supported Common Lisp out of the gate.
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A fully-regulated, API-driven bank, with Clojure
Agree that you can use types to express and prove logical properties via compiler; it can be a fun way to solve a problem though too much of it tends to frustrate coworkers. It's also not exactly "low cost"; here's an old quip I have in my quotes file:
"With Scala you feel smart having just got something to work in a beautiful way but when you look around the room to tell your clojure colleague how clever you are, you notice he left 3 hours ago and there is a post-it saying use a Map." --Daniel Worthington-Bodart
> On the contrary, they're still the most effective technique we've found for improving program correctness at low cost.
This is not borne out by research, such as there is any of any quality: https://danluu.com/empirical-pl/ The best intervention to improve correctness, if not already being done, is code review: https://twitter.com/hillelogram/status/1120495752969641986 This doesn't necessarily mean dynamic types are better, just that if static types are better, they aren't tremendously so to obviously show in studies, unlike code review benefit studies.
My own bias is in favor of dynamic types, though I think the way Common Lisp does it is a lot better than Python (plus Lisp is flexible enough in other ways to let static type enthusiasts have their cake and eat it too https://github.com/coalton-lang/coalton), and Python better than PHP, and PHP better than JS. Just like not all static type systems are C, not all dynamic type systems are JS. Untyped langs like assembly or Forth are interesting but I don't have enough experience.
I don't find the argument that valuable though, since I think just focusing on dynamic vs static is one of the least interesting division points when comparing languages or practices, and if we're trading experience takes I think Clojure's immutable-by-default prevents more bugs than any statically typed language that is mutable by default. It's not exactly a low cost intervention though, and when you really need to optimize you'll be encouraged by the profiler to replace some things with Java native arrays and so on. I don't think changing to static types would make a quality difference (especially when things like spec exist to get many of the same or more benefits) and would also not be a low cost intervention.
Last quip to reflect on. "What's true of every bug found in the field? ... It passed the type checker. ... It passed all the tests. Okay. So now what do you do? Right? I think we're in this world I'd like to call guardrail programming. Right? It's really sad. We're like: I can make change because I have tests. Who does that? Who drives their car around banging against the guardrail saying, "Whoa! I'm glad I've got these guardrails because I'd never make it to the show on time."" --Rich Hickey (https://www.infoq.com/presentations/Simple-Made-Easy/)
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Coalton to Lispers without a background in ML-like languages
Coalton seems great, I love the idea. This issue seems problematic, though: https://github.com/coalton-lang/coalton/issues/84
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Compiler Development: Rust or OCaml?
> Lisps can be very flexible, but they usually lack static type safety, opening a wide and horrible door to run-time errors.
People should do basic research before writing something silly like this. Qualifying your statement with 'usually' is just a chicken sh*t approach. Common Lisp and Racket have optional strong typing, leaving the responsibility and choice to the developer. Common Lisp is great for implementing compilers. You also have thing like Typed Racket and Coalton. The latter is comletely statically typed ala MLTON
https://github.com/coalton-lang/coalton
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Why I Still Lisp (and You Should Too)
Have you checked out Coalton? It allows static typing a la Haskell within Common Lisp. Fully interoperable with CL, including through SLIME etc.
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Common Lisp for large software
I've not regretted using Common Lisp for large, professional projects. However, I started Coalton so that some parts of a Common Lisp project can have strong, static, strict types—reaping benefits of compile-time errors and increased efficiency when I need it, without having to rewrite everything.
py4cl
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Need recommendation for IPC with Go
py4cl and cl4py rely on uiop:launch-program and python's subprocess respectively. These are portable to the extent uiop and subprocess are portable and do not require any additional installation.
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Lisp-Stick on a Python
If you want to use Python libs from CL, see py4cl: https://github.com/bendudson/py4cl the other way around, calling your efficient CL library from Python: https://github.com/marcoheisig/cl4py/ There might be more CL libraries than you think! https://github.com/CodyReichert/awesome-cl (or at least a project sufficiently advanced on your field to join forces ;) )
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The German School of Lisp (2011)
FYI you can call Python from CL: https://github.com/bendudson/py4cl and CL from Python: https://github.com/marcoheisig/cl4py/
If you don't know Emacs, see other editors: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... If you want the more Smalltalk-like experience I'd go with the free LispWorks version: it has many GUI panes that allow to watch and discover the state of the program.
I personally couldn't stay long with Hylang. You won't get CL niceties: more language features, performance, standalone binaries, interactive debugger (all the niceties of an image-based development)…
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Plotting
I ended up using a fair bit of matplotlib through college and with colleagues. I too don't want to use python, but I also don't like throwing away its libraries, and I'm too lazy to invest in other* plotting ecosystems. In effect, I use up using matplotlib through py4cl/2.
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numericals - Performance of NumPy with the goodness of Common Lisp
Note that it is not my aim to replace the python ecosystem; I think that is far too lofy a goal to be of any good. My original intention was to interoperate with python through py4cl/2 or the likes, but felt that one needs a Common Lisp library for "small" operations, while "large" operations can be offloaded to python libraries through py4cl/2.
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Good Lisp libraries for math
If performance is absolutely not a concern, then third option is using python libraries through py4cl/2. To put it differently, if calling python from lisp is not the bottleneck, then this is a feasible option.
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Why Hy?
I encourage people to try out Common Lisp because, unlike with Hy, you will get: speed, ability to build binaries, truly interactive image-based development (yes, more interactive than ipython), more static type checks, more language features (no closures in Hy last time I checked), language stability… To reach to Python libs, you have https://github.com/bendudson/py4cl My comparison of Python and CL: https://lisp-journey.gitlab.io/pythonvslisp/
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Tutorial Series to learn Common Lisp quickly
> Not sure if such a thing already exists for CL
couple of solutions exist for this
https://github.com/bendudson/py4cl
https://github.com/pinterface/burgled-batteries
- Calling Python from Common Lisp
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(define (uwu) (display "nya~\n"))
Ahh, makes sense. Well, if you ever wanna steal some of python's thunder, libpython-clj worked great for me lol. Supposedly py4cl fills a similar role in Common Lisp.
What are some alternatives?
awesome-lisp-companies - Awesome Lisp Companies
py4cl2 - Call python from Common Lisp
hackett - WIP implementation of a Haskell-like Lisp in Racket
magicl - Matrix Algebra proGrams In Common Lisp.
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
racket - The Racket repository
hy - A dialect of Lisp that's embedded in Python
phel-lang - Phel is a functional programming language that transpiles to PHP. A Lisp dialect inspired by Clojure and Janet.
libpython-clj - Python bindings for Clojure
cl-cookbook - The Common Lisp Cookbook