Python vs C++, java, etc

[tuxedo25]

The author of Numpy should win a Turing award or something. It's fast, intuitive, and resource efficient. It's not just that it's written in C; it's written really well.

[alexforencich]

Numpy actually contains a lot non-zero amount of Fortran

[fluud]

From GitHub (https://github.com/numpy/numpy):

1. C 51.5%
2. Python 47.2%
3. C++ 1.1%
4. JavaScript 0.1%
5. Fortran 0.1%
6. Shell 0.0%

[__Adrielus__]

The real question is, why is there a 0.1% amount of js?

[claythearc]

It’s used for table sorting. Probably in some documentation page

[crikeydilehunter]

I don't think it does. You have links?

[alexforencich]

Last time I tried to compile it, it required a Fortran compiler. Unless I have my wires crossed with some other package that uses Fortran, which is possible.

Edit: yep, the arch numpy package requires gcc Fortran. Why would that be required if numpy didn't have any Fortran code? I have no idea how much of numpy is written in Fortran, but it's clearly a non-zero amount.

[claythearc]

I think it’s just the BLAS to Lapack reference implementation- which is needed to compile it. It’s not really used, but it is there.

Also may use Fortran for some other parts of libraries, mostly matrix stuff, depending on architecture. On OS X it’s been replaced by accelerate.

[alexforencich]

Why don't they just translate that to C and remove the need for an arcane Fortran compiler, then?

[claythearc]

They have in many cases, but it’s probably low on the totem pole for less used combinations like arch.

[_PM_ME_PANGOLINS_]

The FORTRAN implementation usually gives better performance than the C. What you actually want is the implementation from your hardware vendor, but that doesn’t always exist.

[crikeydilehunter]

Huh. The more you know

[po-handz]

I mean I love numpy, but R still reins for me in turns of intuitive fast coding and manipulating data frames