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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 3. Lists: Linear Collections

In our last chapter, we introduced the array data structure upon which many of the structures we will examine in this text are based. Although arrays provide good performance for static collections of data, our coding examples proved that they are inflexible and inefficient for many applications--so much so that even something as simple as adding or deleting an element from a collection is an extremely complex and costly operation.

Lists are, in some ways, an evolution of the array. A list can be defined as a finite, ordered series of objects or values called elements. An empty list is a list with no elements, while the length of a list is the total number of elements in the collection. The first item in a list is called the head, while the last item is called the tail. In a list with a length of 1, the head and tail are the same object.

Note

While arrays are a concrete data structure, a list is an abstract concept of a data structure that...

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