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

RxJS formalism


Now, unlike YieldJS, RxJS is push-based. Here, the subscribers would automatically receive new values from the publisher. A subscriber or listener is denoted by the observer object, and the publisher (that pushes/publishes new values) is denoted by the Observable object. Just like the way we specified iterator methods (our future operators) to compose our generated sequences, we can efficiently do the same (transform, filter, and so on) for all the elements in the observable sequence.

Observables and observers

The generator becomes our observable, and the callback function, which would be interested in these sequences, becomes the observer. Having said this, creating Observables is pretty straightforward, as we saw in the earlier chapter with reactive extensions for .NET. The following code bares it all:

    var client = Rx.Observable.create(function (observer) { 
      observer.onNext('On Your Mark'); 
      observer.onNext('Get Set'); 
      observer.onNext(...