In this video we discuss a specific type of graph - the binary tree. In the video we discuss some of the properties of a tree that make is a special type of graph, and then we discuss a few common properties of trees that aren’t always present, but are often there in order to make trees a more optimal data structure to work with. This is all used to set the stage for upcoming videos where we start to implement some algorithms first using trees, and then later on more general graphs.
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? Depth First Search (DFS) on a Binary Tree
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 also teaches about Go, web development, algorithms, and anything programming related. He also consults for other companies who have development needs. (If you need some development work done, get in touch!)
Jon is a co-founder of EasyPost, a shipping API that many fortune 500 companies use to power their shipping infrastructure, and prior to founding EasyPost he worked at google as a software engineer.
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This post is part of the series, Let's Learn Algorithms.
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