Show HN: Lua in Python

by fangwang • 11 years ago

57 7 11 years ago

vegabook• 11 years ago

when raw speed is required and the edit-compile-run cycle of binary extension modules is too heavy

This is a compelling pitch in my opinion, but can anybody explain to me where Lua would be better than, say, Numpy, or Numba for that matter, for computationally expensive tasks?

What are the use cases for this that well-known and really fast Python extensions do not already cater for?

TodPunk• 11 years ago

Off the top of my head: any time you want to run a computational thing in another thread without doing something like an entire celery process or somesuch.

It's not about being THE solution for such things anyway. It's about being an option.

Houshalter• 11 years ago

Those libraries are for doing fast matrix operations. Lua is a fast general purpose language.

ketralnis• 11 years ago

Numpy, is that, but Numba is a general purpose JIT:

Numba works by generating optimized machine code using the LLVM compiler infrastructure at import time, runtime, or statically (using the included pycc tool). Numba supports compilation of Python to run on either CPU or GPU hardware

http://numba.pydata.org/

srean• 11 years ago

The numpy analogue in lua would be torch. The community can be a little weird / insular but otherwise very interesting and full of potential

infinite8s• 11 years ago

True multicore computation (although that's possible with numba's nopython mode, but it's not as general as what luajit can support).

jhgg• 11 years ago

I was just looking at lupa the other week for implementing a rule set interpreter in Python. Similar to how cloudflare uses lua for their WAS.

Show HN: Lua in Python

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