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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/)
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
At some point I tried translating this demo into es6 if anyone's interested [0].
Check out the tests to see how far I got [1]
Pretty fun exercise =)
[0]: https://github.com/djtriptych/es6-lisp
I made something somewhat close to that: a freestanding lisp. It targets the Linux kernel directly. No libc.
https://github.com/lone-lang/lone
> expand into lambda calculus statement that could then be compiled down to different sets of combinators
This approach can be reasonably efficient for implementing Haskell, as shown in [1] and the much more concise [2].
[1] https://github.com/augustss/MicroHs
[2] https://crypto.stanford.edu/~blynn/compiler/
I used Norvig’s lisp2.py to build a low code UI. I modified the interpreter to accept JSON flavored lisp, basically replace parens with brackets. The upside is that it was very very easy to make a react front end that manipulates JSON (JLisp). My thinking was, I need a serialization format for operations from the front end, and a way to interpret them. I could write my own language that no one has heard of, or use lisp, which few have used.
https://github.com/paddymul/buckaroo/blob/main/buckaroo/jlis...
If it exists, it's probably among the ones listed at https://www.softwarepreservation.org/projects/LISP/
If it doesn't exist, you could try modifying one of the listed implementations.