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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 page.


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 page.

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