Data Structure, Algorithm & Design Pattern in C# & .NET Core

About this course

Data structures allow you to organize data efficiently, but critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code; whereas design patterns are reusable solutions to common programming problems where they speed up the development process by providing tested, proven development paradigms. This course follows a practical approach, where you'll first start learning about arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you'll be learning creational design patterns, patterns related to the creation of objects, such as Singleton, Factory, and Dependency Injection. Next, you'll gain deep knowledge about dependency Inversion pattern, which will teach you how to write highly extensible, maintainable, and testable code along with insights into structural & behavioral design patterns.By end of this course, you will be able to build your own desktop applications in C# 7.x much faster and with ease also improve the maintainability and testability of your application and gain the confidence to start a new project with Functional Programming paradigms. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Beginning Data Structures and Algorithms in C# 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. Initially, 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, more complex data structures will be introduced—trees and graphs—together with some algorithms for searching the shortest path in a graph. We will also discuss how to organize code in a man