Description

Book Synopsis
A comprehensive guide that takes you on a journey through the world of design patterns in .NET, empowering you to create software that is not only robust and efficient but also maintainable, scalable, and testable. Develop a solid understanding of object-oriented programming (OOP) principles, including inheritance, encapsulation, and polymorphism, forming the groundwork for well-structured code. Explore creational design patterns like Factory and Abstract Factory, mastering object instantiation, and delve into structural patterns such as Adapter and Composite, governing object composition. Navigate the intricacies of behavioral patterns like Template Method and Observer to control object interaction effectively. Unravel the mysteries of SOLID principles: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion for building maintainable, scalable, and testable code.

Design Patterns in .NET

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    A Paperback by Timur Yaroshenko

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      Publisher: BPB Publications
      Publication Date: 2/22/2024
      ISBN13: 9789355517821, 978-9355517821
      ISBN10: 9355517823

      Description

      Book Synopsis
      A comprehensive guide that takes you on a journey through the world of design patterns in .NET, empowering you to create software that is not only robust and efficient but also maintainable, scalable, and testable. Develop a solid understanding of object-oriented programming (OOP) principles, including inheritance, encapsulation, and polymorphism, forming the groundwork for well-structured code. Explore creational design patterns like Factory and Abstract Factory, mastering object instantiation, and delve into structural patterns such as Adapter and Composite, governing object composition. Navigate the intricacies of behavioral patterns like Template Method and Observer to control object interaction effectively. Unravel the mysteries of SOLID principles: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion for building maintainable, scalable, and testable code.

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