cx_Freeze VS Numba

cx_Freeze mentions (0)

Numba mentions (81)

• Been using Python for 3 years, never used a Class.

  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 / 15 days ago

• Is there a language with lisp syntax but C semantics?

  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 / 29 days ago

• Python Developer Seeking Input: Is it Worth Learning Rust for FFI?

  - 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 / about 1 month ago

• A backtester idea

  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

• #01 Benchmark of four JIT Backends

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