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# Graph Coloring You Can See

**[Towards Data Science](https://daily.dev/sources/tds)** · 8 min read · 0 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/graph-coloring-you-can-see-visual-intuition-with-python/>

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---

Tags: [#python](https://daily.dev/tags/python), [#data-visualization](https://daily.dev/tags/data-visualization), [#graph-theory](https://daily.dev/tags/graph-theory)

[View this post on daily.dev](https://daily.dev/posts/graph-coloring-you-can-see-iuk0aslhm)

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