Book Image

Modern C++: Efficient and Scalable Application Development

By : Richard Grimes, Marius Bancila
Book Image

Modern C++: Efficient and Scalable Application Development

By: Richard Grimes, Marius Bancila

Overview of this book

C++ is one of the most widely used programming languages. It is fast, flexible, and used to solve many programming problems. This Learning Path gives you an in-depth and hands-on experience of working with C++, using the latest recipes and understanding most recent developments. You will explore C++ programming constructs by learning about language structures, functions, and classes, which will help you identify the execution flow through code. You will also understand the importance of the C++ standard library as well as memory allocation for writing better and faster programs. Modern C++: Efficient and Scalable Application Development deals with the challenges faced with advanced C++ programming. You will work through advanced topics such as multithreading, networking, concurrency, lambda expressions, and many more recipes. By the end of this Learning Path, you will have all the skills to become a master C++ programmer. This Learning Path includes content from the following Packt products: • Beginning C++ Programming by Richard Grimes • Modern C++ Programming Cookbook by Marius Bancila • The Modern C++ Challenge by Marius Bancila
Table of Contents (24 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
12
Math Problems
13
Language Features
14
Strings and Regular Expressions
15
Streams and Filesystems
16
Date and Time
17
Algorithms and Data Structures
Index

Composing functions into a higher-order function


In the previous recipe, we implemented two higher-order functions, map and fold, and saw various examples of using them. At the end of the recipe, we saw how they can be pipelined to produce a final value after several transformations of the original data. Pipelining is a form of composition, which means creating one new function from two or more given functions. In the mentioned example, we didn't actually compose functions; we only called a function with the result produced by another, but in this recipe, we will see how to actually compose functions together into a new function. For simplicity, we will only consider unary functions (functions that take only one argument).

Getting ready

Before you go forward, it is recommended that you read the previous recipe, Implementing higher-order functions map and fold. It is not mandatory for understanding this recipe, but we will refer to the map and fold functions implemented here.

How to do it.....