Description
The heavily-used scipy library is so large that each of the major modules could fill its own tutorial syllabus. It is also production-quality software with a 1.0 release imminent. In this tutorial, my focus is to cover the scipy.spatial component of the library in great detail, from the perspective of a heavy user and active developer of the computational geometry components of scipy. From distance matrices to Voronoi diagrams and Hausdorff distances, we will explore the corners of scipy.spatial code--both long-established features and even proposed features that haven't yet made it into a stable release.