2012/4/8 Hänel Nikolaus Valentin <valentin.hae...@epfl.ch
>:
http://www.eos.ubc.ca/research/clouds/software/pythonlibs/num_util/num_util_release2/Readme.html

that looks like it hasn't been updated since 2006 -- I"d say that
makes it a non-starter

The new numpy-boost project looks promising, though.

> which was also mentioned on this list, I now know of four alternatives
> for boost+NumPy (including the built-in support).

4?

Given the pace of change in numpy, it looks to me like the new
numpy-boost is the only viable (Boost) option, other than rolling your
own.

For the record, Cython (with or without another lib like Blitz++)
doesn't preclude "strong OOP design patterns".

-Chris


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Christopher Barker, Ph.D.
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