nimpylib VS PrimesResult

Another nim & python thread that has not been mentioned yet here

https://news.ycombinator.com/item?id=28506531 - project allows creating pythonic bindings for your nim libraries pretty easily, which can be useful if you still want to write most of your toplevel code in python, but leverage nim's speed when it matters.

If you want to make your nim code even more "pythonic" there is a https://github.com/Yardanico/nimpylib, and for calling some python code from nim there is a https://github.com/yglukhov/nimpy

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.