py2exe VS Numba

Sounds like you are on Windows. I think something like https://py2exe.org/ will be what you are after. I'm on Mac / Linux systems only, so I can't really provide info on how to use it, but I know there are some good tutorials out there. - Source: Reddit / 5 months ago

There are also just-in-time compilers available for some Python features, that compile those parts to machine code. That includes Numba (usable as a library within CPython) and Pypy (an alternative Python implementation that includes a JIT compiler to improve performance). There’s also Cython, which is a superset of Python that allows more directly interfacing with C and C++ functions, and compiling the resulting... - Source: Reddit / 7 days ago

This was a submission from u/bpecsek and shows that lisp with sbcl can do quite well on bench-marking. But keep in mind that these sort of benchmarks can't tell you much about real world applications. Moreover if you are really concerned about niche performance you need to start thinking about compilers. Heck with an appropriate compiler even python can go wrooom. - Source: Reddit / 21 days ago

- if no purpose built libraries are faster, use numba (http://numba.pydata.org/) to speed up your code. Optionally you can also use Taichi (https://www.taichi-lang.org/) instead of numba. - Source: Reddit / 28 days ago

The heavy part in backtest is calculations. And they are done in pandas which is partially written in c. Also, we can use numba: https://numba.pydata.org/. - Source: Reddit / about 2 months ago

The participants are also shown in the cover image, which are : Numba, JAX, Tensorflow, Triton. - Source: dev.to / about 2 months ago