[pypy-dev] Fwd: [IronPython] SciPy

Michael Foord fuzzyman at gmail.com
Tue Dec 21 13:59:02 CET 2010


I thought this email could be relevant for those interested in SciPy / Numpy
on pypy. With enthought implementing a smaller core and using compatibility
layers for alternative platforms, it would seem to be a good basis for a
pypy port.

---------- Forwarded message ----------
From: Jason McCampbell <jmccampbell at enthought.com>
Date: 20 December 2010 15:13
Subject: Re: [IronPython] SciPy
To: Discussion of IronPython <users at lists.ironpython.com>


Hi Mark,

As Dino mentioned we (Enthought) are working on refactoring Numpy into a
pure "C" core with CPython and IronPython interface layers.  This is largely
complete and available at github (https://github.com/numpy/numpy-refactor),
though the core layer is largely undocumented thus far.  This is the
multi-dimensional array.

SciPy is in progress and we are updating it to work with the refactored
numpy core and to add an IronPython interface.

I assume you are looking for IronPython interfaces to SciPy as opposed to a
C interface, correct?

Regards,
Jason


On Thu, Dec 16, 2010 at 1:56 PM, Dino Viehland <dinov at microsoft.com> wrote:

>  Enthought has been working on getting numpy/scipy ported over to work w/
> IronPython.  I believe numpy is working but I’m not sure of how far along
> SciPy is.  There’s a separate mailing list for this at:
>
>
>
> https://mail.enthought.com/mailman/listinfo/scipy4dotnet
>
>
>
> It’s very low traffic – it’s usually just working through issues Enthought
> has run into and either workarounds or suggested changes to IronPython.  I’d
> suggest sending a mail there – they might have something you can try.
>
>
>
>
>
> *From:* users-bounces at lists.ironpython.com [mailto:
> users-bounces at lists.ironpython.com] *On Behalf Of *Mark Senko
> *Sent:* Thursday, December 16, 2010 11:49 AM
> *To:* users at lists.ironpython.com
> *Subject:* [IronPython] SciPy
>
>
>
> I’ve been searching for the current state of support for “C” based
> libraries, specifically SciPy (I’m just looking for a decent numerical
> analysis package).  The responses I’ve seen on various websites are somewhat
> dated.
>
> What is the latest status, or is there no effort towards accommodating the
> C API? Is IronClad still the best option? Any info, suggestions and warnings
> would be appreciated before I start to invest a lot of time into installing
> and learning these packages.
>
>
>
> *Mark Senko*
>
> Complete Genomics, Inc.
>
> 2071 Stierlin Court
>
> Mountain View, CA 94043
>
>
>
>
>
>
>
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