(Co)homological methods in data science fall under the umbrella of topological data analysis, which is quite a new approach relative to more standard ones. In p

(Co)homological methods in data science fall under the umbrella of topological data analysis, which is quite a new approach relative to more standard ones. In particular, persistent (co)homology is the applicable theory here, because it computes homology at varying spatial resolutions. > so while a short glimpse at your digit arithmetic gives me fun The fun is the point of it :) It's easy to get discouraged by very abstract, very powerful mathematical ideas, so having fun little toy examples is nice.