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by fmap
3220 days ago
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And thus we want benchmarks that measure language performance, not the fastest way to compute Fibonacci numbers. The solution to the latter problem is the same in Python and Julia and consists of calling the assembly function in gmp... Julia has a lot more potential for optimizations than python, but what python has going for it is the larger ecosystem. So if you want to write a one-off experiment that's similar to stuff that already exists in C bindings to python you should use that. If you plan to write a large application that you still want to optimize for current processors in 10 years then I'm not sure if python is a good choice. |
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