Polyhedral compilation is a technique for optimizing compilation of array and vector operations, widely used in compilers for machine learning and similar numeric tasks. However, there is little material that provides an actual overview of polyhedral compilation, with most experts referring to a few papers and theses. In this series of two talks, Albert Cohen provides an overview of polyhedral compilation and describes the current state of the art.