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C++ Reactive Programming

You're reading from   C++ Reactive Programming Design concurrent and asynchronous applications using the RxCpp library and Modern C++17

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788629775
Length 348 pages
Edition 1st Edition
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Authors (2):
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Praseed Pai Praseed Pai
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Praseed Pai
 Abraham Abraham
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Abraham
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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Reactive Programming Model – Overview and History FREE CHAPTER 2. A Tour of Modern C++ and its Key Idioms 3. Language-Level Concurrency and Parallelism in C++ 4. Asynchronous and Lock-Free Programming in C++ 5. Introduction to Observables 6. Introduction to Event Stream Programming Using C++ 7. Introduction to Data Flow Computation and the RxCpp Library 8. RxCpp – the Key Elements 9. Reactive GUI Programming Using Qt/C++ 10. Creating Custom Operators in RxCpp 11. Design Patterns and Idioms for C++ Rx Programming 12. Reactive Microservices Using C++ 13. Advanced Streams and Handling Errors 1. Other Books You May Enjoy Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

C++ Data Structures and Algorithms Wisnu Anggoro

ISBN: 978-1-78883-521-3

  • Know how to use arrays and lists to get better results in complex scenarios
  • Build enhanced applications by using hashtables, dictionaries, and sets
  • Implement searching algorithms such as linear search, binary search, jump search, exponential search, and more
  • Have a positive impact on the efficiency of applications with tree traversal
  • Explore the design used in sorting algorithms like Heap sort, Quick sort, Merge sort and Radix sort
  • Implement various common algorithms in string data types
  • Find out how to design an algorithm for a specific task using the common algorithm paradigms

C++ High Performance Viktor Sehr

ISBN: 978-1-78712-095-2

  • Benefits of modern C++ constructs and techniques
  • Identify hardware bottlenecks, such as CPU cache misses, to boost performance
  • Write specialized data structures for performance-critical code
  • Use modern metaprogramming techniques to reduce runtime calculations
  • Achieve efficient memory management using custom memory allocators
  • Reduce boilerplate code using reflection techniques
  • Reap the benefits of lock-free concurrent programming
  • Perform under-the-hood optimizations with preserved readability using proxy objects
  • Gain insights into subtle optimizations used by STL algorithms
  • Utilize the Range V3 library for expressive C++ code
  • Parallelize your code over CPU and GPU, without compromising readability
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