Book Image

Hands-On Functional Programming with C++

By : Alexandru Bolboaca
Book Image

Hands-On Functional Programming with C++

By: Alexandru Bolboaca

Overview of this book

Functional programming enables you to divide your software into smaller, reusable components that are easy to write, debug, and maintain. Combined with the power of C++, you can develop scalable and functional applications for modern software requirements. This book will help you discover the functional features in C++ 17 and C++ 20 to build enterprise-level applications. Starting with the fundamental building blocks of functional programming and how to use them in C++, you’ll explore functions, currying, and lambdas. As you advance, you’ll learn how to improve cohesion and delve into test-driven development, which will enable you in designing better software. In addition to this, the book covers architectural patterns such as event sourcing to help you get to grips with the importance of immutability for data storage. You’ll even understand how to “think in functions” and implement design patterns in a functional way. By the end of this book, you’ll be able to write faster and cleaner production code in C++ with the help of functional programming.

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Hands-On Functional Programming with C++
Alexandru Bolboaca
Jun, 2019 | 358 pages
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Table of Contents (23 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
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1
Section 1: Functional Building Blocks in C++
Section 1: Functional Building Blocks in C++
2
An Introduction to Functional Programming
An Introduction to Functional Programming
Technical requirements
An introduction to functional programming
Functional programming constructs are everywhere
Structured loops versus functional loops
Immutability
OOP versus functional design styles
Composability and removing duplication
Summary
Questions
3
Understanding Pure Functions
Understanding Pure Functions
Technical requirements
What is a pure function?
Pure functions in C++
Pure functions and immutability
Pure functions and I/O
Summary
Questions
4
Deep Dive into Lambdas
Deep Dive into Lambdas
Technical requirements
What is a lambda?
Lambdas in C++
Lambdas and pure functions
Lambdas and classes
Summary
Questions
5
The Idea of Functional Composition
The Idea of Functional Composition
Technical requirements
What is functional composition?
Complex functional composition
Using functional composition to remove duplication
Summary
Questions
6
Partial Application and Currying
Partial Application and Currying
Technical requirements
Partial application and currying
Removing duplication using partial application and currying
Summary
Questions
7
Section 2: Design with Functions
Section 2: Design with Functions
8
Thinking in Functions - from Data in to Data out
Thinking in Functions - from Data in to Data out
Technical requirements
From data in to data out through functions
Summary
9
Removing Duplication with Functional Operations
Removing Duplication with Functional Operations
Technical requirements
Removing duplication with functional operations
Summary
10
Improving Cohesion Using Classes
Improving Cohesion Using Classes
Technical requirements
Improving cohesion using classes
The equivalence OOP – functional
Summary
11
Test-Driven Development for Functional Programming
Test-Driven Development for Functional Programming
Technical requirements
TDD for functional programming
Example – designing a pure function using TDD
Summary
12
Section 3: Reaping the Benefits of Functional Programming
Section 3: Reaping the Benefits of Functional Programming
13
Performance Optimization
Performance Optimization
Technical requirements
Performance optimization
Parallelism – taking advantage of immutability
Memoization
Tail recursion optimization
Optimizing execution time with asynchronous code
Optimizing memory usage
Summary
14
Property-Based Testing
Property-Based Testing
Technical requirements
Property-based testing
Generators
Putting the properties to the test
From examples to data-driven tests to properties
Good properties, bad properties
Summary
15
Refactoring to and through Pure Functions
Refactoring to and through Pure Functions
Technical requirements
Refactoring to and through pure functions
Design patterns
Purely functional design patterns
Summary
16
Immutability and Architecture - Event Sourcing
Immutability and Architecture - Event Sourcing
Technical requirements
Immutability and architecture – event sourcing
Taking immutability to architecture
An example of implementation
Summary
17
Section 4: The Present and Future of Functional Programming in C++
Section 4: The Present and Future of Functional Programming in C++
18
Lazy Evaluation Using the Ranges Library
Lazy Evaluation Using the Ranges Library
Technical requirements
An overview of the ranges library
Lazy evaluation
Lazy evaluation using the ranges library
Mutable changes with actions
Infinite series and data generation
Summary
19
STL Support and Proposals
STL Support and Proposals
Technical requirements
The <functional> header
The <algorithm> header
The <numeric> header – accumulate
Back to <algorithm> – find_if and copy_if
<optional> and <variant>
C++ 20 and the ranges library
Summary
20
Standard Language Support and Proposals
Standard Language Support and Proposals
Technical requirements
Standard language support and proposals
Summary
21
Assessments
Assessments
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
22
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Who this book is for

This book is for programmers who already know C++ (including the language syntax, STL containers, and elements of templates) and who want to add more tools to their toolkit. You don't need to know anything about functional programming to read the book; we took care to explain every idea in a clear and practical manner.

You do, however, need to be curious about the set of tools coming from the world of functional programming. A hefty dose of experimentation will help you to make the most of this book, so I encourage you to play around with the code and to let us know what you find.

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