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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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Toc

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

Case study: customer service


Business problem: A small software firm wants to break into a new market with a mobile app for tracking customer service requests at Department of Motor Vehicles (DMV) service locations. The app will allow users to take a number with their mobile device as they pass into a geofence representing the service area. This will allow customers to immediately move to the next available window or to take a seat and wait comfortably for an associate to assist them. One primary business requirement states that service will be delivered to customers on a first-come, first-served basis. In addition to the business requirements, the team wants to implement the core functionality with a generic design so that they can expand to new markets without the need to modify the underlying business logic.

The developer in charge of creating the core functionality decides that the class that keeps track of each customer's position in line should be bundled with the web service. This...

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