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A comment on Introduction to Python for Computational Science and Engineering [pdf]. Parent comment

Re:Introduction to Python for Computational Science and Engi... by I_deny_it on Friday November 25, 2016 @11:17PM (#13041693)
If you really want to run faster, you should try a new language. 30-40% for multiprocessing is nowhere near the benefit you'd get from a single threaded implementation in C, C++, Java, Rust, Ocaml, Go, or even JavaScript or LuaJIT. Those runs between 10 and 1000 times faster (1000% - 100000%) than Python.
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Re:Introduction to Python for Computational Science and Engi... by dagw on Saturday November 26, 2016 @02:45AM (#13042368)
Those runs between 10 and 1000 times faster (1000% - 100000%) than Python.

They're faster than pure python in the general case, but once you throw numpy, numba, numexpr and cython into the mix and focus on numeric workloads, most of that difference disappears.

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