And then there is the GIL. So if you want to squeeze more performance out of you... | Hacker News

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		mateo411 on June 26, 2013 \| parent \| context \| favorite \| on: How fast can we make interpreted Python? And then there is the GIL. So if you want to squeeze more performance out of your CPU bound task. You need to use the multiprocess module, because Python threading does not work well for CPU bound tasks.

pekk on June 26, 2013 [–]

Since you are talking about CPU-bound tasks, it is relevant that numpy array operations release the GIL.

mateo411 on June 27, 2013 | [–]

True, you would have to write or use a Python extension written in C or C++.

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