Functional Programming in C++
Functional Programming in C++
Summary:
The book "Functional Programming in C++" is a practical guide for developers who want to go beyond the imperative style and master the powerful paradigms of functional programming in the context of modern C++ (C++17/20). The author, Alexey Zakharov, combines deep theory with real-world examples, showing how to write more reliable, testable, and concise code.
What is this book about?
- Fundamental concepts: pure functions, data immutability, absence of side effects.
- Advanced C++ features: lambda expressions,
std::function,std::optional,std::variant, and templates. - Implementation of functional patterns: map, filter, reduce, function composition, currying.
- Working with monads and functors in C++ (Maybe, Either, IO-like constructs).
- Performance optimization when using the functional style.
Who is this book for?
- C++ programmers familiar with the basics of the language (classes, templates, STL).
- Developers transitioning from languages like Haskell, Scala, or F#, who want to apply functional concepts in C++.
- Engineers striving to improve the readability and fault tolerance of their code.
What will you learn?
- How to replace loops with algorithms and lambdas, avoiding mutable state.
- Principles of building data processing pipelines without mutation.
- Techniques for lazy evaluation and memoization.
- Methods for testing functions in isolation from the outside world.
- How to avoid the "pain" of working with pointers and exceptions using a monadic approach.
The book contains numerous code examples, from simple snippets to full-fledged projects (parsers, event handlers, mathematical libraries). Each chapter concludes with exercises to reinforce the material. This is not just a translation of academic concepts, but an adaptation of best practices to the realities of C++ — taking into account performance, compatibility with existing code, and compiler specifics.
"Functional Programming in C++" is your guide to a world where code becomes declarative, predictable, and easily maintainable. It is suitable both for learning from scratch in this paradigm and for deepening the knowledge of experienced specialists.
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