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Data Structures and Algorithms with the C++ STL

You're reading from   Data Structures and Algorithms with the C++ STL A guide for modern C++ practitioners

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835468555
Length 458 pages
Edition 1st Edition
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John Farrier John Farrier
Author Profile Icon John Farrier
John Farrier
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Table of Contents (30) Chapters Close

Preface 1. Part 1: Mastering std::vector FREE CHAPTER
2. Chapter 1: The Basics of std::vector 3. Chapter 2: Mastering Iterators with std::vector 4. Chapter 3: Mastering Memory and Allocators with std::vector 5. Chapter 4: Mastering Algorithms with std::vector 6. Chapter 5: Making a Case for std::vector 7. Part 2: Understanding STL Data Structures
8. Chapter 6: Advanced Sequence Container Usage 9. Chapter 7: Advanced Ordered Associative Container Usage 10. Chapter 8: Advanced Unordered Associative Container Usage 11. Chapter 9: Advanced Container Adaptor Usage 12. Chapter 10: Advanced Container View Usage 13. Part 3: Mastering STL Algorithms
14. Chapter 11: Fundamental Algorithms and Searching 15. Chapter 12: Manipulation and Transformation 16. Chapter 13: Numeric and Range -Based Operations 17. Chapter 14: Permutations, Partitions, and Heaps 18. Chapter 15: STL with Ranges 19. Part 4: Creating STL-Compatible Types and Algorithms
20. Chapter 16: Creating STL-Types Containers 21. Chapter 17: Creating STL -Compatible Algorithms 22. Chapter 18: Type Traits and Policies 23. Part 5: STL Data Structures and Algorithms: Under the Hood
24. Chapter 19: Exception Safety 25. Chapter 20: Thread Safety and Concurrency with the STL 26. Chapter 21: STL Interaction with Concepts and Coroutines 27. Chapter 22: Parallel Algorithms with the STL 28. Index 29. Other Books You May Enjoy

Summary

This chapter uncovered the integration of C++20’s concepts and coroutines with the STL. We began by exploring the role of concepts in templated programming. Concepts strengthen code robustness by enforcing type constraints and enhancing the expressivity and safety of template use. They replace error-prone SFINAE techniques with a more readable and declarative syntax. We saw how concepts improve the clarity of algorithms’ requirements, leading to more maintainable code.

Next, we examined how coroutines introduce a new level of sophistication to asynchronous programming in C++. We discussed the mechanics of coroutines, emphasizing the use of co_await, co_return, and co_yield for creating nonblocking operations. We looked at how coroutines can interact with STL data structures and algorithms, allowing asynchronous and synchronous code to blend seamlessly.

Understanding the interplay between concepts, coroutines, and the STL is crucial. It enables us to write...

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