×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

.NET 7 Design Patterns In-Depth Vahid Farahmandian

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Autor:
Vahid Farahmandian
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
500
Dostępne formaty:
     ePub
     Mobi
Czytaj fragment
Unlock the power of design patterns to build robust and scalable .NET applications

Key Features
Develop a solid understanding of SOLID principles and learn effective strategies to master their application.
Gain the knowledge and skills to elevate software architecture by applying appropriate design patterns.
Get a comprehensive analysis of the advantages and limitations inherent in each design pattern.

Description
Design patterns in .NET improve code quality, encourage collaboration, and address common software design issues, resulting in more efficient and effective software development projects. This book is an ideal resource for those seeking to learn about design patterns in .NET and their practical application.

The book highlights the importance of design patterns in solving software design challenges. It then proceeds to explore creational design patterns, which primarily address object creation, followed by structural design patterns that handle object composition and organization. Furthermore, the book delves into behavioral design patterns, which center around the interaction and communication between objects. It also covers domain logic design patterns, data source architectural design patterns, object-relational behaviors, structures, and metadata mapping design patterns. Moving on, the book provides insights into web presentation design patterns, offering guidance on the effective design of web interfaces. It also examines distribution design patterns, offline concurrency design patterns, and session state design patterns. Lastly, the book presents base design patterns as fundamental building blocks for other patterns.

Upon completion of this book, you will possess the knowledge and skills required to design and implement suitable software infrastructures using design patterns, .NET 7.0, and the C# programming language.

What you will learn
Enhance proficiency in managing object creation by utilizing creational design patterns.
Learn how to manage class relationships using structural design patterns.
Implement behavioral design patterns to manage object and class behavior effectively.
Understand how to use Concurrency design patterns to handle multi-threaded scenarios.
Learn how to use data access design patterns to optimize data management capabilities.

Who this book is for
This book caters to software engineers, programmers, and software system architects with intermediate knowledge of the C#.NET programming language, .NET 7.0, and UML.

Table of Contents
1. Introduction to Design Patterns
2. Creational Design Patterns
3. Structural Design Patterns
4. Behavioral Design Patterns Part I
5. Behavioral Design Patterns Part II
6. Domain Logic Design Patterns
7. Data Source Architecture Design Patterns
8. Object-Relational Behaviors Design Patterns
9. Object-Relational Structures Design Patterns
10. Object-Relational Metadata Mapping Design Patterns
11. Web Presentation Design Patterns
12. Distribution Design Patterns
13. Offline Concurrency Design Patterns
14. Session State Design Patterns
15. Base Design Patterns

Wybrane bestsellery

BPB Publications - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
67,43 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.