libpython-clj VS PrimesResult

It’s also worth noting that Clojure has libpython-clj (https://github.com/clj-python/libpython-clj) which offers an interface with Python from another lisp. Here are some advanced ML and dataviz examples using that lib: https://github.com/gigasquid/libpython-clj-examples.

Basically, you take a programming language and make it work on a platform that meant to be programmed using a different PL. Clojure is hosted by design - it's not Java, but can be used to program for JVM. It ain't Javascript, but can be used to target nodejs and browser; not an [official] CLR language, but you can write .Net programs. You can use Clojure to make Flutter apps with ClojureDart. You can integrate Python into Clojure with libpython-clj. Or write Clojure to target Erlang/OTP; or Rust; or R; There's even a clojure-like language for Lua - Fennel.

There's something about Clojure people like so much, they want it to work atop any platform.

https://github.com/Tensegritics/ClojureDart

https://github.com/clj-python/libpython-clj

https://github.com/clojerl/clojerl

https://github.com/clojure-rs/ClojureRS

https://github.com/scicloj/clojisr

https://fennel-lang.org

There's this project that's used a lot for taking advantage of Pythons ecosystem through Clojure JVM. https://github.com/clj-python/libpython-clj

Ahh, makes sense. Well, if you ever wanna steal some of python's thunder, libpython-clj worked great for me lol. Supposedly py4cl fills a similar role in Common Lisp.

High quality interop with any python library via libpython-clj including, but not limited to, keras, numpy, matplotlib, and pandas. This includes zero copy paths from many of those.

libpython-clj now has Java bindings...go tell all your Java friends!

https://github.com/luizsol/PrimesResult People give golang crap for being slower than C. Python is 8.6% of the speed of golang.

Possible place to start: https://github.com/luizsol/PrimesResult

The Performance of CL is much better than Scheme. One example is here https://github.com/luizsol/PrimesResult. Lisp is 11, Chez scheme implementation is 40

The thing with Python is it's usually pretty easy to optimise quite impressively.

E.g. random example:

Sprinkle some cdef's in your python and suddenly you're faster than c++

https://github.com/luizsol/PrimesResult

https://github.com/PlummersSoftwareLLC/Primes/blob/drag-race...

Sure, but never discount compile time code that can work wonders for your performance (which Rust doesn't really fully have) - https://github.com/luizsol/PrimesResult. Zig is so high up in the results precisely (I'd wager) because of compile time semantics.