Crafting Interpreters VS pyright-python

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...

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.

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.

Nix is unnecessary and will kill adoption from being too heavy handed. Use pip package nodeenv for an isolated node install. Check https://github.com/RobertCraigie/pyright-python for an example of a python package that relies on node.

You can statically type Python if you want. It has the syntax for it, but you need to use an external type checker like Pyright. It's easy to use with VS Code.