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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

Chapter 2.  Arrays: Foundational Collections

Quite often, our applications need to store multiple pieces of user data or objects in memory at runtime. One solution is to define multiple fields (properties) in our various classes to store each of our required data points. Unfortunately, even when working with the simplest workflows, this approach quickly becomes ineffective. We will either have too many fields to work with, or we simply won't have any way of anticipating all of the dynamic requirements for our project at compile time.

One solution to this problem is to use an array. Arrays are simple collections of data, and they are one of the most common data structures you will encounter in your day-to-day programming experience due to the fact that many other data structures are built on top of them.

Arrays are containers that hold a fixed number of items of a particular type. The size of an array in C and its descendant languages are determined when the array is created...

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