Seamless Numpy-UBlas interoperability
Project description
PyUblas provides a seamless glue layer between
`Numpy <http://www.numpy.org>`_ and
`Boost.Ublas <http://www.boost.org/doc/libs/1_35_0/libs/numeric/ublas/doc/index.htm>`_
for use with
`Boost.Python <http://www.boost.org/doc/libs/1_35_0/libs/python/doc/index.html>`_.
What does that mean? When writing
`hybrid scientific code <http://mathema.tician.de/node/455>`_,
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.
Documentation
=============
See the
`PyUblas Documentation <http://tiker.net/doc/pyublas>`_
page.
PyUblasExt
==========
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 <http://mathema.tician.de/software/pyublas/pyublasext>`_
page.
`Numpy <http://www.numpy.org>`_ and
`Boost.Ublas <http://www.boost.org/doc/libs/1_35_0/libs/numeric/ublas/doc/index.htm>`_
for use with
`Boost.Python <http://www.boost.org/doc/libs/1_35_0/libs/python/doc/index.html>`_.
What does that mean? When writing
`hybrid scientific code <http://mathema.tician.de/node/455>`_,
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.
Documentation
=============
See the
`PyUblas Documentation <http://tiker.net/doc/pyublas>`_
page.
PyUblasExt
==========
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 <http://mathema.tician.de/software/pyublas/pyublasext>`_
page.
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