In this video we cover how the depth first search algorithm works. We do so by starting with a binary tree and walking through how the algorithm would iterate over the tree searching for a specific node.
We intentionally start with a tree because this removes a lot of complicating factors that might be present in other graphs, such as running into a cycle, but everything you learn here will be applicable to when we start working with cyclical graphs to also run our DFS.
This post is part of the Let's Learn Algorithms series where we learn how algorithms work, see how to implement them, and then spend some time working on practice problems to reinforce how the implementation details work, as well as to help you learn to recognize problems that could be solved using any particular algorithm.
This particular tutorial is part of the section on Graph Theory where we discuss all of the basics about a graph and slowly build our way up to more advanced graph algorithms. This is the first video in the series, so if you are new just sit back and enjoy!
Ready to watch the next video in the series? Representing Binary Trees in Go Code
You can view all of the videos in the Let's Learn Algorithms Graph Theory subsection to see if there is one covering a particular topic you are interested in. You can also check out the transcripts for the video below.
The transcripts below are generated automatically. They aren’t that good and have many errors, but hopefully they help a little bit. If you want you can send corrections for any timestamp.
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Jon Calhoun is a full stack web developer who teaches about Go, web development, algorithms, and anything programming. If you haven't already, you should totally check out his Go courses.
Previously, Jon worked at several statups including co-founding EasyPost, a shipping API used by several fortune 500 companies. Prior to that Jon worked at Google, competed at world finals in programming competitions, and has been programming since he was a child.
More in this series
This post is part of the series, Let's Learn Algorithms.
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