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

A fresh look at the iterator pattern using FP/OOP


The C# programming language has built-in support for the iterator pattern using the foreach loop construct. Any programmer worth his salt might have written code to iterate over a collection and apply some kind of transformation. To get things in perspective, let's globally write some code to compute the arithmetic mean (average) of a set of numbers.

    double[] arr = { 2, 4, 4, 4 ,5, 5, 7, 9}; 
    List<double> arrlist = arr.ToList(); 
    double nsum = 0; 
    foreach (var n in arr) { 
      nsum += n;  
    } 
    double avg = nsum / arrlist.Count; 
    Console.WriteLine(avg); 

The preceding imperative code does the job really well, and it is quite readable. Let us explore whether we can improve the situation further. If you take a closer look, the code iterates through a collection, and applies some logic which is context-dependent. If we want to calculate the product of numbers, we need to...