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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

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Now that we have examined how dictionaries are used in common applications, we should take some time to examine how dictionaries are implemented under the hood. The majority of dictionaries come in two distinct flavors: hash table based and search tree based. Although the mechanics of the two approaches are similar, and they typically share many of the same methods and functionality, the inner workings and ideal applications for each type are very different.

Hash table based dictionaries

The most common implementation of a dictionary is the hash table based associative array. When properly implemented, the hash table approach is extremely efficient and allows for O(1) complexity searches, inserts, and deletes. In each of the languages we are examining, the basic dictionary classes are based on hash tables by default. The general concept of a hash table based dictionary is that mapping for a specified key is stored at an index of an array, where the index is obtained by applying...

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