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C# Data Structures and Algorithms

C# Data Structures and Algorithms

By : Marcin Jamro
3.7 (7)
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C# Data Structures and Algorithms

C# Data Structures and Algorithms

3.7 (7)
By: Marcin Jamro

Overview of this book

Data structures allow organizing data efficiently. They are critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. At the beginning, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you will learn how to create and use stacks and queues. In the following part of the book, the more complex data structures will be introduced, namely trees and graphs, together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize the code in a manageable, consistent, and extendable way. By the end of the book,you will learn how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (9 chapters)
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Preface

As a developer, you have certainly heard about various data structures and algorithms. However, have you ever thought profoundly about them and their impact on the performance of your applications? If not, it is high time to take a look at this topic, and this book is a great place to start!

The book covers many data structures, starting with simple ones, namely arrays and a few of their variants, as representatives of random access data structures. Then, lists are introduced, together with their sorted variant. The book also explains limited access data structures, based on stacks and queues, including a priority queue. Following this, we introduce you to the dictionary data structure, which allows you to map keys to values and perform fast lookup. The sorted variant of the dictionary is supported, as well. If you want to benefit from high-performance, set-related operations, you can use another data structure, namely a hash set. One of the most powerful constructs is a tree, which exists in a few variants, such as a binary tree, a binary search tree, as well as a self-balancing tree and a heap. The last data structure we analyze is a graph, which is supported by many interesting algorithmic topics, such as graph traversal, minimum spanning tree, node coloring, and finding the shortest path in a graph. There is a lot of content ahead of you!

Are you interested in knowing the influence of choosing a suitable data structure on the performance of your application? Do you want to know how you can increase the quality and performance of your solution by choosing the right data structure and accompanying algorithm? Are you curious about real-world scenarios where these data structures can be applied? If you answer positively to any of these questions, let's start reading this book to learn about various data structures and algorithms that you can use while developing applications in C#.

Arrays, lists, stacks, queues, dictionaries, hash sets, trees, heaps, and graphs, as well as accompanying algorithms—a broad range of subjects awaits you in the next pages! Let's start the adventure and take the first step toward your mastery of data structures and algorithms, which hopefully will have a positive effect on your projects and on your career as a software developer!

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C# Data Structures and Algorithms
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