Vectorized functions

[Christian Gollwitzer]

Am 11.08.16 um 06:02 schrieb Steven D'Aprano:
> Here's a neat little decorator which decorates a function with a special
> callable attribute "v" which operates somewhat like Julia's dot syntax:
>
> def vectorize(func):
>     def v(seq, **kw):
>         return [func(x, **kw) for x in seq]
>     func.v = v
>     return func
>
>
>
> py> @vectorize
> ... def add2(x):
> ...     return x+2
> ...
> py> add2.v([100, 200, 300, 400])
> [102, 202, 302, 402]
>
>

Neat. I suspect, that in addition to the higher-level syntax, it also 
improves the speed in Julia, because the loop is implicit and it 
compiles to native code using LLVM. Numpy's ufunc comes to mind - there 
is also a vectorizer for Python functions 
http://docs.scipy.org/doc/numpy/reference/generated/numpy.frompyfunc.html#numpy.frompyfunc


	Christian