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A very large portion of performance problems can be mitigated with the use of cython and the new asyncio stuff.

asyncio success story: https://magic.io/blog/asyncpg-1m-rows-from-postgres-to-pytho...

cython: http://scikit-learn.org/stable/developers/performance.html

Luajit is at least 10x faster than python and easily obviates the need to mess around with cython. That's an easy win for Lua. Let's be honest: Torch has decided that if you cannot beat them, join them. It is about network effects. Not about Python better than Lua intrinsically.

but why do you care if luajit is faster than python if everything that matters is computed on the GPU anyways?

Can't argue with that

An alternative to Cython is Numba [1], which speeds up some cycles in pure Python by just adding a single decorator.

[1] http://numba.pydata.org/

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