Laughing lots! I gave an APL book to the numpy developers about 10
years ago. I think it was the diminutive \underline{APL 360/370}.
Still can't find my Gilman & Rose. Enthought has grown. Their staff
staff is about 4 times what it was last I looked. numpy is so dang
clumsy to use compared with j. The last time I saw numpy source code
(admittedly 10 years ago) it was an absolute mess when I investigated a
bug. They had implicit array declarations (arrays of pointers to c
functions) that were later on indexed as if they knew the dimensions. I
couldn't believe that any of numpy worked whatsoever. There's no chance
that Guido (van Rossum) would accept that code into the mainstream
python distribution like that, although they keep requesting.
> Date: Tue, 11 Dec 2012 12:10:33 -0000
> From: "Graham Parkhouse" <[email protected]>
> To: <[email protected]>
> Subject: Re: [Jprogramming] J v NumPy
> Message-ID:
> <[email protected]>
> Content-Type: text/plain; charset="us-ascii"
>
> On Mon, 10 Dec 2012 Edward Mokurai Cherlin <[email protected]>
> wrote:
>
> > Start here.
> >
> > http://docs.scipy.org/doc/
> > Numpy and Scipy Documentation
> >
> > Welcome! This is the documentation for Numpy and Scipy .
> >
> > Links to User Manual and Reference Manual.
>
> Thanks, Ed! Numpy has got what I need for my array manipulations. It
> is not
> so alien as I might have expected - being beneficially influenced by
> APL, I
> suspect. A comment I saw on the internet by a new user of Numpy was
> 'better
> that MATHLAB'.
>
> Regards
>
> Graham
----------------------------------------------------------------------
For information about J forums see http://www.jsoftware.com/forums.htm
