Cython VS Numba

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

That would be things like cython (https://cython.org/) and rpython (https://rpython.readthedocs.io/en/latest/). - Source: Hacker News / 7 days ago

However, you can't run it with just python, since it's not actually plain python code. Instead, you'll need the cython compiler. - Source: Reddit / 20 days ago

As you can see, in this benchmark Starlite handily beats even blakchseep, a notoriously fast ASGI framework written in Cython. - Source: Reddit / 2 months ago

How does this relate to https://cython.org/ ? Would it be possible to write performance-sensitive parts of a Python system in Codon and link that to a CPython or PyPy runtime that supports more dynamic features? - Source: Hacker News / 3 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