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 philosophy for reactive programming


We started this chapter with a lot of verbose description about the reactive programming model. Then, we showed how one can convert an IEnumerable<T>-based sequence generator to an IObservable<T>/IObserver<T>-based push program. We also demonstrated how one can convert mouse-event data to a stream, using a toy program. The rest of the chapter was about the tools available for manipulating streams or sequences. You learned about the different genres of stream processing operators. One needs to consult the Microsoft documentation on Rx to understand the specifics of stream processors.

The basic philosophy here can be summarized as follows:

  • Aggregate data into asynchronous or synchronous streams from the event source.
  • Apply preprocessing methods using various operators available at the data source itself (outside the stream consumer).
  • Process the resulting stream pushed from the data source at the data sink level by applying functional transformation...