Being able to describe things with a syntax that looks almost like pseudocode and runs highly-optimized C/Fortran code to do heavy lifting has huge, huge advantages.
Also Java and .NET ecosystems are just a little bigger than Python.
LANPACK + BLAS = scipy
> Numpy/Scipy are only relevant to a minor set of computer users..
> ... Java and .NET ...
Being able to describe things with a syntax that looks almost like pseudocode and runs highly-optimized C/Fortran code to do heavy lifting has huge, huge advantages.
Thanks, I already knew that.
> Being able to describe things with a syntax that looks almost like pseudocode and runs highly-optimized C/Fortran code to do heavy lifting has huge, huge advantages.
Hence we are back at Scala, Clojure, F#, enjoying the respective AOT/JIT native code compilers, and integrating with that highly-optimized C/Fortran code.
Functional languages. The "year of Linux on the desktop" of programming languages. Also none of those look like pseudocode (Scala does if you ignore bits and squint).
Other sites have similar totals. But they are filtering for London/UK/Europe, so that might be a bias.
> SciPy, which, you may not be aware, is basically C and Fortran code wrapped in Python API.
Which for me personally means, that I would rather C and Fortran directly or better yet, a C++, .NET or Java binding to them.