cloture VS hy

For reference, and to show that it's possible, you might be interested in how I did this for Cloture (Clojure in CL): https://github.com/ruricolist/cloture/blob/master/clojure/core.lisp

Why not use something like https://github.com/ruricolist/cloture (a Clojure "adapter" that runs on Common Lisp) if you want that?

Clojure on Common Lisp: https://github.com/ruricolist/cloture

It does not offer the full experience. It has no breakloop and no ability to browse and edit the live running environment. It has no ability to rummage around inside the dynamic environment of a suspended function call, much less to redefine the suspended function or the types of its parameters, nor to restart the suspended call. Indeed, the JVM makes some of that stuff really inconvenient to do.

You cannot do everything from the Clojure repl in the way you can from a Common Lisp repl or from a Smalltalk worksheet.

I don't know that the Clojure language design forbids it; you might, for example, implement Clojure on top of a Lisp or Smalltalk environment and hook up their tools to Clojure through its interop. That might work, and ruricolist has been working on such an implementation called Cloture:

https://github.com/ruricolist/cloture

But existing Clojure implementations don't have the full set of tools.

Not exactly the same (doesn't embed into the source like this did), but I believe Hylang[0] is the best Lisp package available for modern Python.

[0] https://github.com/hylang/hy

Isn't that a bit what hy (https://hylang.org/) tries to do ? AIUI it is a lisp interacting directly with the AST of Python, allowing seamless interop: Python modules can be used from hy and vice versa, everything is transparent.

I’ve been keeping loose tabs on this and Hy[1] for a while, but I’ve had some trouble figuring out the major differences between them and the use-cases for either. Would love to see an in-depth comparison in the form of a blog post sometime (though maybe the answer here is to do the research and write one up myself).

1: https://hylang.org

“Python is for scientists. Lisp is for engineers.”

Then what does that make Hy language?

https://hylang.org/

Re Languages with lots of example code and LLM’s

With translators or things like Hy lang, one could get the LLM’s to solve your problem in Python before converting it to another form. Then, you just need a translator. If lacking one, it’s easy to translate by hand.

The practicality of this concept will probably vary by use case. My experiments had GPT doing sketching, implementations, boilerplate, and even porting Python to Rust. A legally-clear LLM trained on multiple languages could probably be fine-tuned to do Python to LISP conversions. If not, Hy might be a stepping stone, too.

You could say so: I've been maintaining the compiler since 2016 ;). Infinitesimal Quest 2 + ε (SQ) exists more to advance Hy than for its own sake.

If you are using Python - you might find Hylang (https://hylang.org) interesting.