Book Image

.NET Design Patterns

By : Praseed Pai, Shine Xavier
Book Image

.NET Design Patterns

By: Praseed Pai, Shine Xavier

Overview of this book

Knowing about design patterns enables developers to improve their code base, promoting code reuse and making their design more robust. This book focuses on the practical aspects of programming in .NET. You will learn about some of the relevant design patterns (and their application) that are most widely used. We start with classic object-oriented programming (OOP) techniques, evaluate parallel programming and concurrency models, enhance implementations by mixing OOP and functional programming, and finally to the reactive programming model where functional programming and OOP are used in synergy to write better code. Throughout this book, we’ll show you how to deal with architecture/design techniques, GoF patterns, relevant patterns from other catalogs, functional programming, and reactive programming techniques. After reading this book, you will be able to convincingly leverage these design patterns (factory pattern, builder pattern, prototype pattern, adapter pattern, facade pattern, decorator pattern, observer pattern and so on) for your programs. You will also be able to write fluid functional code in .NET that would leverage concurrency and parallelism!
Table of Contents (22 chapters)
.NET Design Patterns
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

The JS world


It is important to recap one's understanding of some of the JavaScript world's state of affairs. The most important aspect is that the language is single-threaded and, given this, the only option left for developers to write asynchronous code is by using callbacks, promises, and events. As a developer, you should be comfortable with the functional programming aspects of JS (in addition to its innate dynamic nature), including closures, higher-order functions, anonymous functions, and extension methods (augmenting types). We also cannot discount the advancements that have been made in the language core itself, with Node.js now becoming a preferred backend for serious scalability involving async I/O. Let's have a quick peek into these core concepts before we dive into RxJS.

As we all know (we presume you do), functions are objects in JavaScript, and they are first-class citizens, which makes JS a functional programming language as well (although it is formally classified as a dynamic...