Graphs define a powerful mental (and mathematical) model of structure, representing the building blocks of formulations and/or solutions for many hard problems. In this talk, graphs and (some of the) main graph-related algorithms will be analysed from a very pythonic angle: the Zen of Python (e.g., beautiful is better than ugly, simple is better than complex, readability counts).
