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Interesting, but IMO it's just not a useful comparison here. Any computationally intensive task in Python is usually done with libraries written in C.
Not to mention, dev time matters and has an energy cost as well.
Yeah, he mentions that as a caveat that all the benchmarks are done using own language scripting abilities... no external functions are called.
And indeed, you're right to highlight that no self-respecting python coder won't use efficient external lapack or arpack libraries to do the computationally heavy matrix operations. numpy is nearly fully C-code under the hood with some C++ as well.
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Disappointed/surprised Fortran does significantly worse than C...
Edit: ok, the benchmarks are not only scientific computational ones. For the latter, Fortran still acts very well...
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