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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

Mutable versus immutable arrays

Typically, languages that are based on the C language share many of the same fundamental characteristics. For example, in C the size of a plain array cannot be changed once the array has been created. Since the four languages we are examining here are all based on C, the arrays we will be working with also have a fixed length in. However, although the size of an array cannot be changed, the contents of the structure can change after the array is created.

So, are arrays mutable or immutable? In terms of mutability, we say that plain C arrays are  immutable because the structure itself cannot change once it has been created. For this reason, it is typically a bad idea to use a plain C array for anything other than static datasets. This is because, whenever the dataset changes, your program will need to copy the modified data into a new array object and dispose of the old one, which are both costly operations.

Most of the array objects you will be working...

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