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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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 Smith Smith
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Smith
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Table of Contents (20) Chapters Close

Everyday Data Structures
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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 the list structure, including the difference between sorted and unsorted list and array-backed versus linked lists. We discussed how to initialize lists or pseudo lists in each of the four languages we utilize in this text. We revisited the logged-in users class to see if we could improve its performance using lists instead of arrays and learned about interesting differences between the four languages including their use of generics and class clusters in the process. Next, we created a class to represent a route for biking enthusiasts, taking advantage of the properties of linked lists to manipulate and dynamically alter our collection of waypoints on the fly.

In our advanced topics section, we examined different implementations of list structures in more detail, including array-based lists, (singly) linked lists, and doubly linked lists. Finally, for each implementation, we evaluated the performance of basic operations including...

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