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Seamless Numpy-UBlas interoperability

Project description

PyUblas provides a seamless glue layer between
`Numpy <>`_ and
`Boost.Ublas <>`_
for use with
`Boost.Python <>`_.

What does that mean? When writing
`hybrid scientific code <>`_,
one of the main problems is that abstractions that
exist in the high-level language go away or become unwieldy in the
low-level language. Sometimes libraries exist in both languages for
these abstractions, but they refuse to talk to each other. PyUblas is
a bridge between two such libraries, for some of the main
abstractions used in scientific codes, namely vectors and matrices.


See the
`PyUblas Documentation <>`_


PyUblasExt is a companion to PyUblas and exposes a variety of useful
additions to PyUblas, such as an "operator" class, matrix-free linear
system solvers and eigensolvers. Interested? Head over to the
`PyUblasExt <>`_

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