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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

Chapter 6. Dictionaries: Keyed Collections

A dictionary is an abstract data structure that can be described as a collection of keys and associated values, where each key only appears once within the collection. This associated relationship between the keys and values is why dictionaries are sometimes referred to as associative arrays. Dictionaries are also known as maps, or more specifically, hash maps for hash table-based dictionaries and tree maps for search tree-based dictionaries. The four most common functions associated with a dictionary are add, update, get, and remove. Other common operations include contains, count, reassign, and set. Each of these operations will be examined in detail later in this chapter.

The mapped, or associative, nature of dictionaries allows for extremely efficient insert, search, and update operations. By specifying the key when creating, editing, or getting a value, most operations in a well-designed dictionary have a minimal O(1) cost. Perhaps...

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