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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: arcade ticket totals


Business problem: an arcade manager wants to cut costs by eliminating physical tickets from her games. Tickets are very costly and wasteful, since they must be thrown away or recycled once a customer has redeemed them. She has decided to introduce an electronic point system that allows customers to earn points rather than tickets, and store the points digitally. Once she has the hardware in place to support the changeover, she needs a mobile app that allows her and her customers to efficiently track their current point totals.

This app has several key requirements. First, it should store data for the customer based solely on the name they provide during check-in. Second, it must keep a running total of all points earned, lost, and redeemed. Third, it must be capable of showing the customer's points and the total number of customers in the arcade at any given time. Finally, it should allow for the removal of individual customer records or all customer records...

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