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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 2. Arrays: Foundational Collections FREE CHAPTER 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, you learned the basic definition of the set data structure. In order to fully appreciate the functionality of the structure, we briefly examined the most basic principles of set theory upon which the set data structure is based. Following this, we looked at the most common operations of sets and how they relate to the set theory functions. We then looked at how to implement a set in each of the four languages we're studying in this text. Next, we revisited the users logged into a service problem one more time to see if we could improve upon its implementation at all using a set data structure as opposed to an array or list. Following this, we examined a case study where sets would be beneficial. Finally, we looked at the varying implementations of sets, including hash table-based sets, tree-based sets, and array-based sets.

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