Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

A visual exploration of graph coloring concepts including node, edge, and face colorings, using the open-source Python library GCol built on NetworkX. Covers key theorems like Vizing's theorem and the four-color theorem, with practical applications in sports scheduling, cartography, and tiling patterns. Includes code examples and visually engaging diagrams to build intuition around these NP-hard combinatorial problems.

Graph Coloring You Can See