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

Chapter 11. What is Reactive Programming?

By now we have seen how parallel and functional programming constructs in the .NET world help one naturally compose algorithms/business logic and model programs/data flows. These paradigms help realize a software system that has close correlation with the real world in which they exist. We have seen relevance of data structures and their role in program composition. We also saw the benefits (in terms of concurrency and parallelism) of keeping the data structures (modeled in an object-oriented way) different from the algorithms (modelled as pure function compositions) that consume them. To take this one knot further, in order to keep up with growing system complexity, there's a growing software revolution called reactive programming, which defines how to model applications from a behavior stand-point. In this chapter, we will try to unravel the concept through some examples, and understand how this programming paradigm becomes a natural succession...