Let me say also that I tried using boost.python a while back to interface numpy with c++, and, while I got some things working, I found the distribution and packaging end of things an order of magnitude more complicated than what I found with weave. Since weave is built into scipy, as well as blitz itself (now recently under the BSD license), it fits really well with numpy's distutils. The only dependencies on the user end are numpy and scipy, which they would need anyway from the python end of the code. Also, I find the syntax of blitz++ to be really simple and numpy-like. E.g. Array<double, 2> A; A.resize(20,20); for(int i = 0; i < 20; ++i) A(i, Range::all() ) = i; Array<double, 1> B = A(Range(2,18), 0); B *= 2; A(2, Range(5,10) ) += 2; Array<double, 1> C = B*A(2, Range(1,17) ); and so on... (I just typed this in here, prob some typos). Anyway, after bouncing around for a bit I think I've found this to be the solution that most closely fits my needs. --Hoyt On Sat, Apr 26, 2008 at 3:54 AM, Gael Varoquaux <gael.varoquaux@normalesup.org> wrote:

On Wed, Apr 23, 2008 at 09:47:46PM -0400, Andreas Klöckner wrote:

Any numpy-specific stuff for sip?

Not as far as I'm aware. In fact, I don't know of any uses of sip outside of Qt/KDE-related things.

Airbus uses it for heavy numerical work. They claim they have benchmarked all the tools and SIP was the fastest. If you want more information on that, you should contact the sip developer, Phil Thompson, he does some contracting job for Airbus.

Cheers,

Gaël

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-- +++++++++++++++++++++++++++++++++++ Hoyt Koepke UBC Department of Computer Science http://www.cs.ubc.ca/~hoytak/ hoytak@gmail.com +++++++++++++++++++++++++++++++++++