paip-lisp
Crafting Interpreters
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paip-lisp | Crafting Interpreters | |
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65 | 45 | |
7,006 | 8,103 | |
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0.8 | 0.0 | |
6 months ago | 18 days ago | |
Common Lisp | HTML | |
MIT License | GNU General Public License v3.0 or later |
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paip-lisp
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Ask HN: Guide for Implementing Common Lisp
PAIP by Peter Norvig, Chapter 23, Compiling Lisp
https://github.com/norvig/paip-lisp/blob/main/docs/chapter23...
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The Meeting of the Minds That Launched AI
Emacs is so much more than a text editor! But I need to stay on topic...
I believe your assessment of LISP (and therefore of MacArthy)'s impact on AI to be unfair. Just a few days ago https://github.com/norvig/paip-lisp was discussed on this site, for example.
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Towards a New SymPy
Sounds like a great project idea to make a toy demo of this direction you'd like to see. Maybe comparable to https://github.com/norvig/paip-lisp/blob/main/docs/chapter15... and https://github.com/norvig/paip-lisp/blob/main/docs/chapter8.... which are a few hundred lines of Lisp each, but do enough to be interesting.
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A few newbie questions about lisp
You could look into Paradigms of AI Programming by Peter Norvig which might interest you regardless of Lisp content.
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Mathematical paradigm?
Lisp has great power, examine PAIP, part II chapters 7 and 8.
- Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
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Evidence that GPT-4 has a level of understanding
A computer running Prolog reasons, and that only requires a couple of pages of code. So it seems feasible that the network could have learned some ability to reason within its network.
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Conversation with Larry Masinter about Standardizing Common Lisp
IMHO it's because lisp shines to manipulate symbols whereas the current AI trend is crunching matrices.
When AI was about building grammars, trees, developing expert systems builds rules etc. symbol manipulation was king. Look at PAIP for some examples: https://github.com/norvig/paip-lisp
This paradigm has changed.
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A lispy book on databases
Origen: Conversación con Bing, 4/4/2023(1) gigamonkey/monkeylib-binary-data - GitHub. https://github.com/gigamonkey/monkeylib-binary-data Con acceso 4/4/2023. (2) paip-lisp/chapter4.md at main · norvig/paip-lisp · GitHub. https://github.com/norvig/paip-lisp/blob/main/docs/chapter4.md Con acceso 4/4/2023. (3) bibliography.md · GitHub. https://gist.github.com/gigamonkey/6151820 Con acceso 4/4/2023.
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A Retrospective on Paradigms of AI Programming (2002)
If anyone is interested PAIP is downloadable at https://github.com/norvig/paip-lisp
Crafting Interpreters
- Crafting Interpreters
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The Top 10 GitHub Repositories Making Waves 🌊📊
Build an Interpreter (Chapter 14 on is written in C)
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Writing a Debugger from Scratch: Breakpoints
I’m guessing you’ll have to work with the scopes in the resolver:
https://github.com/munificent/craftinginterpreters/blob/mast...
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loxcraft: a compiler, language server, and online playground for the Lox programming language
Better open an issue/request wiki edit at https://github.com/munificent/craftinginterpreters/wiki/Lox-implementations
- Gigachad Ken Thomson.
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Show HN: Yaksha Programming Language
I'm late to the party, but I want to say thank you for sharing this. It's inspiring to look at how much you've built and (hopefully) enjoyed the process of building! I'm loving everything -- your site, your language design, your docs, your builtin libraries, your dev tools. Beyond impressive. People like you are the ones who make HN one of my best places on the internet.
For context on where I'm coming from, about two weeks ago I picked up Crafting Interpreters [1] for fun. I'm finding your clear-yet-concise Compiler internals [2] to be particularly compelling reading, and jumping back and forth between those "how this all works" docs and the live example of this language you actually built do a WASM-compiled tree-blowing-in-the-wind animation is just... just wow. So freaking cool!
I also enjoyed reading the comment thread that inspired you to start on Yaksha and seeing how this project has a wholesome start as inspiration-by-programming-hero. I hope you recognize that a few years later you've now ascended from inspiree to inspirer. I also hope you're still having tons of fun building out Yaksha!
[1] https://www.craftinginterpreters.com/
[2] https://yakshalang.github.io/documentation.html#compiler-int...
- Keeping track of returned and break-ed values between code blocks
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How do you start your own programming language?
There are books which will talk you through the process. Crafting Interpreters is highly spoken of; I used Writing an Interpreter in Go, because I like Go. Then there's Compilers: Principles, Techniques, and Tools (the "Dragon Book"). This is considered heavy, but a classic, it's been around since '86.
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Designing a new language
I cannot recommend Crafting Interpreters by Robert Nystrom enough, it covers a lot of the stuff you need to know, completely for free.
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A roadmap to design programming languages
Crafting Interpreters is a fun primer on language design. It has a complete roadmap to build a fairly simple language, twice. There are some topics it won't touch on, like static type systems, but it provides a great introduction so that you can start tinkering and learn by doing.
What are some alternatives?
mal - mal - Make a Lisp
git-internals-pdf - PDF on Git Internals
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
tinyrenderer - A brief computer graphics / rendering course
picolisp-by-example - The source code of the free book "PicoLisp by Example"
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
slime - The Superior Lisp Interaction Mode for Emacs
pytudes - Python programs, usually short, of considerable difficulty, to perfect particular skills.
clojure-style-guide - A community coding style guide for the Clojure programming language