# An Intro to Graph Theory

towardsdatascience.comThis is a series of four posts on graph theory. The series progresses from history (which turns out to be very interesting) to graph notation to network theory, and then gets into real world applications.

Data practitioners are frequently well-versed in many mathematical and statistical areas, but are often under-exposed to graph theory. If that sounds like you, this is a solid, digestible intro. Graphs are everywhere.

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