3 ms·

> Numpy and Scipy are, I'm going to bet, mostly C. You'd be surprised; About 25% of SciPy (much of the numerical computing portions) are in FORTRAN. It turns o

> Numpy and Scipy are, I'm going to bet, mostly C. You'd be surprised; About 25% of SciPy (much of the numerical computing portions) are in FORTRAN. It turns out that decades of compiler/numerical computing research has made the FORTRAN compiler generate numerical code which runs faster than GCC/Clang today. https://github.com/scipy/scipy https://github.com/scipy/scipy

cyphar 7y ago
Most people use the GCC Fortran front-end. I think the main reason you get speed from Fortran is because it provides more hints to the compiler, but also because generations of PhD students have been optimising compilers for Fortran-specific performance gains.
- pjmlp 7y ago
  People that care about Fortran performance use Intel, PGI, IBM compilers.
  - cyphar 7y ago
    Maybe, but most people who are using numpy are probably using their Linux distro's package for it (or the pip package) which means it's being compiled using GCC.
    - pjmlp 7y ago
      Depends if they work on HPC environments or not.
Waterluvian 7y ago
Wow. That's a really cool thing to see. Thanks for sharing. So Python bindings around Fortran. Cool.
deleted 7y ago
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