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

How does LINQ work?


Before we conclude this chapter, we would like to give you a rough idea about how Language Integrated Query (LINQ) works under the hood, in a schematic manner. As we know, LINQ is a declarative language embedded inside a multi-paradigm language. The primary advantage of LINQ is the alignment to the rich type system of C#. Syntactically, LINQ is very similar to SQL language and the evaluation model is very similar to an SQL engine. As an example, let us explore a LINQ query which retrieves information regarding a set of employees by querying Employee and Department table. The query returns an anonymous type consisting of employee name, department name and location of the employee. We are using the comprehension syntax in this particular example:

    var empInfo = from emp in db.Employee
    join dept in db.Department
    on emp.deptid equals dept.nid
    select new
    {
      emp.Name,
      dept.Name,
      emp.Location
    };

While...