The project aims to create comprehensive Python bindings for the Eigen Tux library using Boost.Python. In particular, pEigen makes it easy to leverage Eigen's efficient dense and sparse matrix data structures and exposes Eigen's high-performance matrix decomposition algorithms (SVD, QR, etc) in an easy-to-use pythonic sdk.
For information about building this project locally for contributing, see the developer docs.
Documentation on objects and methods with examples are coming soon.