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Everyday data structures

You're reading from   Everyday data structures A practical guide to learning data structures simply and easily

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787121041
Length 344 pages
Edition 1st Edition
Languages
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Author (1):
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William Smith William Smith
Author Profile Icon William Smith
William Smith
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Table of Contents (14) Chapters Close

Preface 1. Data Types: Foundational Structures FREE CHAPTER 2. Arrays: Foundational Collections 3. Lists: Linear Collections 4. Stacks: LIFO Collections 5. Queues: FIFO Collections 6. Dictionaries: Keyed Collections 7. Sets: No Duplicates 8. Structs: Complex Types 9. Trees: Non-Linear Structures 10. Heaps: Ordered Trees 11. Graphs: Values with Relationships 12. Sorting: Bringing Order Out Of Chaos 13. Searching: Finding What You Need

Summary

In this chapter we learned about tree data structures, and how they differ from tree data types. We took the time to examine the terminology associated with trees including a visual representation of tree data structures. Next we evaluated the most common operations when working with trees and their complexity cost. Following this we created our own simple binary tree data structure class from scratch, and discussed how the recursive operations are used to traverse the tree. We examined the meaning of recursion and how to write recursive functions of your own using the Fibonacci sequence as an example of this process. Finally, we examined the various ways that tree data structures can be traversed depending on how the nodes in the tree are related to one another.

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