Apply modern C++17 to the implementations of classic design patterns. As well as covering traditional design patterns, this book fleshes out new patterns and approaches that will be useful to C++ developers. The author presents concepts as a fun investigation of how problems can be solved in different ways, along the way using varying degrees of technical sophistication and explaining different sorts of trade-offs.
Design Patterns in Modern C++
also provides a technology demo for modern C++, showcasing how some of its latest features (e.g., coroutines) make difficult problems a lot easier to solve. The examples in this book are all suitable for putting into production, with only a few simplifications made in order to aid readability.
What You Will Learn
Apply design patterns to modern C++ programming
Use creational patterns of builder, factories, prototype and singleton
Implement structural patterns such as adapter, bridge, decorator, facade and more
Work with the behavioral patterns such as chain of responsibility, command, iterator, mediator and more
Apply functional design patterns such as Monad and more
Who This Book Is For
Those with at least some prior programming experience, especially in C++.
Nesteruk
Design Patterns in Modern C++ jetzt bestellen!
Zielgruppe
Professional/practitioner
Weitere Infos & Material
1. Introduction.- Pt I Creational Patterns.- 2. Builder.- 3. Factories.- 4. Prototype.- 5. Singleton.- Pt II Structural Patterns.- 6. Adapter.- 7. Bridge.- 8. Composite.- 9. Decorator.- 10. Façade.- 11. Flyweight.- 12. Proxy.- Pt III Behavioral Patterns.- 13. Chain of Responsibility.- 14. Command.- 15. Interpreter.- 16. Iterator.- 17. Mediator.- 18. Null Object.- 19. Observer.- 20. State.- 21. Strategy.- 22. Template Method.- 23. Visitor.- 24. Maybe Monad.- Pt IV Appendix.- 25. Appendix A: Functional Design Patterns.
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 high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.
