#### Overview of this book

Building your own applications is exciting but challenging, especially when tackling complex problems tied to advanced data structures and algorithms. This endeavor demands profound knowledge of the programming language as well as data structures and algorithms – precisely what this book offers to C# developers. Starting with an introduction to algorithms, this book gradually immerses you in the world of arrays, lists, stacks, queues, dictionaries, and sets. Real-world examples, enriched with code snippets and illustrations, provide a practical understanding of these concepts. You’ll also learn how to sort arrays using various algorithms, setting a solid foundation for your programming expertise. As you progress through the book, you’ll venture into more complex data structures – trees and graphs – and discover algorithms for tasks such as determining the shortest path in a graph before advancing to see various algorithms in action, such as solving Sudoku. By the end of the book, you’ll have learned how to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various applications, spanning web and mobile platforms.
Chapter 1: Data Types
Free Chapter
Chapter 2: Introduction to Algorithms
Chapter 3: Arrays and Sorting
Chapter 4: Variants of Lists
Chapter 5: Stacks and Queues
Chapter 6: Dictionaries and Sets
Chapter 7: Variants of Trees
Chapter 8: Exploring Graphs
Chapter 9: See in Action
Chapter 10: Conclusion
Index
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# Implementation

You already know some basic information about graphs, including nodes, edges, and two methods of representation, namely using an adjacency list and matrix. However, how you can use such a data structure in your applications? In this section, you will learn how to implement a graph using the C# language. To make your understanding of this content easier, two examples will be provided.

## Node

To start with, let’s take a look at the code of a generic class representing a single node in a graph. Such a class is named `Node` and its code is as follows:

```public class Node<T>
{
public int Index { get; set; }
public required T Data { get; set; }
public List<Node<T>> Neighbors { get; set; } = [];
public List<int> Weights { get; set; } = [];
public override string ToString() => \$"Index: {Index}.
...```