paip-lisp VS Crafting Interpreters

PAIP by Peter Norvig, Chapter 23, Compiling Lisp

https://github.com/norvig/paip-lisp/blob/main/docs/chapter23...

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.

You could look into Paradigms of AI Programming by Peter Norvig which might interest you regardless of Lisp content.

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.

Worth mentioning it is on github with corrected code (I've already run into mistakes in the printed version) https://github.com/norvig/paip-lisp

Reading Peter Norvig's PAIP (https://github.com/norvig/paip-lisp) in 1998 totally blew my mind. It completely changed how I think about programming in every other language I use(d). I love it still, and always will. And yes, my experience is the same as yours: learning lisp made me a better programmer in every other language I use (especially -- but not only -- Python).

The simplicity and symmetry of the syntax is a big part of that love for me. Being able to manipulate lisp code as lisp data, using the full power of the language to do so, is just brilliant.

Janet looks lovely! Looking forward to the book.

PAIP has some chapters on this. Here is one: https://github.com/norvig/paip-lisp/blob/main/docs/chapter8.md

For Common Lisp, there are several free books available:

- Practical Common Lisp (aimed at people who know how to program in a more mainstream language already) [1]

- Paradigms in Artificial Intelligence Programming (my personal favorite) [2]

- Common Lisp: A Gentle Introduction to Symbolic Computation (aimed at absolute beginners of programming) [3]

I highly recommend the r/lisp reddit community. Reddit as a platform has its issues, but the (Common) Lisp community there is very responsive and very helpful.

Lastly, you might be interested in checking out a game written entirely in Common Lisp, to be released imminently on Steam. It's called Kandria, and it's effectively 100% Lisp. [4]

[1] https://gigamonkeys.com/book/

[2] https://github.com/norvig/paip-lisp

[3] https://www.cs.cmu.edu/~dst/LispBook/

[4] https://store.steampowered.com/app/1261430/Kandria/

https://github.com/norvig/paip-lisp - Peter Norvig's Paradigm's of AI Programming

https://github.com/norvig/paip-lisp/search?l=Markdown&q=defm... - all references to defmacro in the markdown files

Chapter 3 shows a simple macro, just adding a while loop to the language.

Chapter 9 shows some more complex ones, including a with- macro and a grammar compiler macro.

Chapters 11 and 12 show the development of a Prolog implementation in CL using defmacro to aid in compilation again in Chapter 11.

Chapter 12 shows adding an OO system to the language. Technically not needed with CLOS, but a good demonstration of what can be done with macros.

There are other examples (why I included that search link). Macros let you change the language in ways large and small. Many uses could probably be replaced with functions, though you'd end up having to throw a bunch of quotes about or closures in order to delay processing things.

Build an Interpreter (Chapter 14 on is written in C)

I’m guessing you’ll have to work with the scopes in the resolver:

https://github.com/munificent/craftinginterpreters/blob/mast...

I was asking this myself this while reading the book "Crafting Interpreters". I posted a few resources I found on an issue about implementing debuggers [] although honestly I still haven't gotten down to read all of them (or to implement a debugger! :-/).

--

: https://github.com/munificent/craftinginterpreters/issues/92...

Better open an issue/request wiki edit at https://github.com/munificent/craftinginterpreters/wiki/Lox-implementations

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...

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.

I cannot recommend Crafting Interpreters by Robert Nystrom enough, it covers a lot of the stuff you need to know, completely for free.