July 2024
Beginner to intermediate
280 pages
7h 25m
English
Content preview from Grokking Data StructuresBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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13 Graphs: Learning how to model complex relationships in data
In this chapter
- defining graphs
- discussing the basic properties of graphs
- evaluating graph implementation strategies: adjacency list and adjacency matrix
- exploring graph traversal: breadth-first search and depth-first search
In our final chapter, we discuss another data structure that exceeds the characteristics of a container—graphs. They can be used to store elements, but that would be an understatement as graphs have a much broader range of applications.
This chapter defines what graphs are and discusses some of their most important properties. After covering the basics, we move on to their implementation. Finally, we briefly discuss two methods for traversing a graph.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.