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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

Case-study: music playlists


Business problem: A music streaming service wants to provide their users with a better streaming experience. Currently, user playlists are a simple collection of songs dumped into a bucket that provides no means of filtering or ordering the collection. The content management team has heard the complaints of their users and has tasked the engineering team with building a better playlist. 

This new playlist tool will have several key requirements. The more basic requirements include the ability to add and remove songs from the list, the ability to differentiate between an empty list and a list with elements, as well the ability to report on the total count of elements in the list. For those customers who are not interested in paying for the premium service, the lists will be limited to a 100 songs so our playlist tool must also have the ability to set a capacity and easily identify when the capacity has been met.

Additionally, many premium users are known to have...

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