Design Patterns in .NET: Reusable Approaches in C# and F# for Object-Oriented Software Design

Nesteruk, Dmitri

ISBN 10: 148424365X / ISBN 13: 9781484243657

Published by Apress, 2021

About this Item

Seller Inventory # 148424365X-3-32402758

Bibliographic Details

• Title: Design Patterns in .NET: Reusable Approaches in C# and F# for Object-Oriented Software Design
• Publisher: Apress
• Publication Date: 2021
• Language: English
• ISBN 10: 148424365X
• ISBN 13: 9781484243657
• Binding: Paperback
• Condition: Good

About this title

Synopsis

Implement design patterns in .NET using the latest versions of the C# and F# languages. This book provides a comprehensive overview of the field of design patterns as they are used in today's developer toolbox.

Using the C# programming language, Design Patterns in .NET explores the classic design pattern implementation and discusses the applicability and relevance of specific language features for the purpose of implementing patterns. You will learn by example, reviewing scenarios where patterns are applicable. MVP and patterns expert Dmitri Nesteruk demonstrates possible implementations of patterns, discusses alternatives and pattern inter-relationships, and illustrates the way that a dedicated refactoring tool (ReSharper) can be used to implement design patterns with ease.

What You'll Learn

Know the latest pattern implementations available in C# and F#


Refer to researched and proven variations of patterns


Study complete, self-contained examples including many that cover advanced scenarios


Use the latest implementations of C# and Visual Studio/ReSharper

Who This Book Is For
Developers who have some experience in the C# language and want to expand their comprehension of the art of programming by leveraging design approaches to solving modern problems

About the Author

Dmitri Nesteruk is a quantitative analyst, developer, course and book author, and an occasional conference speaker. His interests lie in software development and integration practices in the areas of computation, quantitative finance, and algorithmic trading. His technological interests include C# and C++ programming as well as high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.