  We review methods to calculate eigenvalue distributions of products of large
random matrices. We discuss a generalization of the law of free multiplication
to non-Hermitian matrices and give a couple of examples illustrating how to use
these methods in practice. In particular we calculate eigenvalue densities of
products of Gaussian Hermitian and non-Hermitian matrices including
combinations of GUE and Ginibre matrices.
