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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 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

Revisiting users logged in to a service


In Chapter 2, Arrays: Foundational Structures, we created an app to keep track of users logged into a web service, using an array as the underlying data structure containing the User objects. However, this design can be greatly improved upon by using a list data structure. Let's revisit the users logged into a service problem here, and by replacing the class array with a list, we will see that our original code is both abbreviated and more readable in most cases.

C#

In this example, we have replaced the User[] object with a List<User> object. Much of this refactor is obvious, but three lines of code should be noted. First, in the CanAddUser() method, we have replaced 15 lines of code with 2 lines of code by leveraging the List<T>.Contains() method and condensing our logic loop. Next, in the UserAuthenticated() method, we have leveraged the List<T>.Add() method, which replaced the call to Array.Resize() and the error-prone approach to...

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