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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

Summary

In this chapter, you learned the basic definition of an array structure, how arrays look in memory, and how each of the four languages we are discussing implement some form of the plain C array structure. Next, we discussed the difference between mutable and immutable arrays. Using examples, we looked at how each of the four languages we are discussing implements arrays and array functionality. In the remainder of the chapter, we examined the linear search algorithm and introduced the big O notation, including how this notation is applied to arrays with examples of simple iteration. We discussed the difference between primitive arrays, object arrays, and mixed arrays. Finally, we examined multidimensional arrays and their counterpart, jagged arrays.

As a final note, it is important to know when to use an array. Arrays are great for containing small lists of constant data or data that changes very little to not at all. If you find yourself constantly manipulating the data in your...

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