From: Andreas KlÃ¶ckner (lists_at_[hidden])
Date: 2008-04-05 19:47:36
I'm pleased to announce the availability of PyUblas, a software bridge between
Numpy and Ublas. When developing C++/Python hybrid codes with Boost.Python,
PyUblas lets you use the "native" matrix library on either side of
the "fence". This is achieved without any copying at the language boundary.
Instead, PyUblas defines a new kind of storage array that internally keeps
data in a Numpy array. This makes the resulting vector and matrix classes
essentially "handle" classes for numpy-held chunks of data.
The package also wraps Ublas's sparse matrix types for use in Python.
There's much more material available at the PyUblas homepage at