--On 12 décembre 2012 11:28:31 -0500 Raul Miller <[email protected]>
wrote:
On Wed, Dec 12, 2012 at 10:55 AM, Konrad Hinsen
<[email protected]> wrote:
My personal dream would be a J implementation that uses NumPy arrays
internally, letting me combine Python and J easily.
Why not the other way around?
Since NumPy's design is about incorporating externally defined types,
why not make it support J's types?
My data comes in through C libraries interfaced to NumPy, so my starting
point for any computation is a NumPy array. If I can get away with not
copying it to something else, that would be the best solution for me.
I don't know how J arrays are stored internally. Perhaps one could have
both NumPy and J arrays share the same memory space for the raw data. That
would be a nice solution as well.
Konrad.
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