This is a simple example on how to use boost.python and boost.numpy to call c++ code form python and convert numpy arrays to Eigen.
To run (assuming you've boost.python already installed):
git submodule init git submodule update ./build.sh # will build boost.numpy make ./run.sh hello.py make test ./run.sh test_eigen_numpy.py
Links :
https://github.com/ndarray/Boost.NumPy
http://eigen.tuxfamily.org/index.php?title=Main_Page
There also is the 'ndarray' project, that aims at providing a multidimensionnal array library similar to numpy.ndarray for C++. Some of the code comes from ndarray : https://github.com/ndarray/ndarray
TODO: - The from python converts do some data copy. This could hurt for big
matrices