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Hands-On Functional Programming with C++

Hands-On Functional Programming with C++

By : Alexandru Bolboacă
4 (2)
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Hands-On Functional Programming with C++

Hands-On Functional Programming with C++

4 (2)
By: Alexandru Bolboacă

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.
Table of Contents (23 chapters)
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Section 1: Functional Building Blocks in C++
7
Section 2: Design with Functions
12
Section 3: Reaping the Benefits of Functional Programming
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17
Section 4: The Present and Future of Functional Programming in C++

Section 3: Reaping the Benefits of Functional Programming

We have learned a lot about the building blocks of functional programming, how to write them in C++, and how to use them to build function-centric design. It's time to look at a few specialized topics strongly related to functional programming.

First, we'll dive into the huge topic of performance optimization. We'll learn a few optimization techniques that fit particularly well with pure functions (for example, memoization and tail recursion optimization). We will look at both memory footprint and execution time optimization, carry out many measurements, and compare approaches.

Then, we will look into how functional programming enables parallel and asynchronous execution. Immutability leads to the avoidance of shared state, therefore, to simpler patterns of parallel execution.

But we can take advantage of...

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