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Hands-On Functional Programming with C++

You're reading from   Hands-On Functional Programming with C++ An effective guide to writing accelerated functional code using C++17 and C++20

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789807332
Length 358 pages
Edition 1st Edition
Languages
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Author (1):
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Alexandru Bolboaca Alexandru Bolboaca
Author Profile Icon Alexandru Bolboaca
Alexandru Bolboaca
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Table of Contents (23) Chapters Close

Preface 1. Section 1: Functional Building Blocks in C++ FREE CHAPTER
2. An Introduction to Functional Programming 3. Understanding Pure Functions 4. Deep Dive into Lambdas 5. The Idea of Functional Composition 6. Partial Application and Currying 7. Section 2: Design with Functions
8. Thinking in Functions - from Data in to Data out 9. Removing Duplication with Functional Operations 10. Improving Cohesion Using Classes 11. Test-Driven Development for Functional Programming 12. Section 3: Reaping the Benefits of Functional Programming
13. Performance Optimization 14. Property-Based Testing 15. Refactoring to and through Pure Functions 16. Immutability and Architecture - Event Sourcing 17. Section 4: The Present and Future of Functional Programming in C++
18. Lazy Evaluation Using the Ranges Library 19. STL Support and Proposals 20. Standard Language Support and Proposals 21. Assessments 22. Other Books You May Enjoy

Summary

We've learned a lot of things in this chapter, all around improving design. We learned that refactoring means restructuring the code without changing the external behavior of a program. We saw that to ensure the preservation of behavior, we need to make very small steps and tests. We learned that legacy code is code that we're afraid to change, and in order to write tests for it, we need to change the code first, which leads to a dilemma. We've also learned that, fortunately, we can make some small changes in the code that are guaranteed to preserve behavior, but that break dependencies and thus allow us to plug into the code with tests. We saw then that we can use pure functions to identify and break the dependencies, leading to lambdas that we can regroup into classes based on cohesiveness.

Finally, we learned that we can use design patterns with functional...

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