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C++ Programming for Linux Systems

You're reading from   C++ Programming for Linux Systems Create robust enterprise software for Linux and Unix-based operating systems

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781805129004
Length 288 pages
Edition 1st Edition
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Authors (2):
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Stanimir Lukanov Stanimir Lukanov
Author Profile Icon Stanimir Lukanov
Stanimir Lukanov
Desislav Andreev Desislav Andreev
Author Profile Icon Desislav Andreev
Desislav Andreev
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Table of Contents (15) Chapters Close

Preface 1. Part 1:Securing the Fundamentals
2. Chapter 1: Getting Started with Linux Systems and the POSIX Standard FREE CHAPTER 3. Chapter 2: Learning More about Process Management 4. Chapter 3: Navigating through the Filesystems 5. Chapter 4: Diving Deep into the C++ Object 6. Chapter 5: Handling Errors with C++ 7. Part 2:Advanced Techniques for System Programming
8. Chapter 6: Concurrent System Programming with C++ 9. Chapter 7: Proceeding with Inter-Process Communication 10. Chapter 8: Using Clocks, Timers, and Signals in Linux 11. Chapter 9: Understanding the C++ Memory Model 12. Chapter 10: Using Coroutines in C++ for System Programming 13. Index 14. Other Books You May Enjoy

Functors and lambdas

This section will delve into functional objects – their definition, usefulness, and proper usage. We’ll begin by examining an example of a functional object used with an STL algorithm and discuss potential issues, such as the creation of temporary objects and dangling references. After that, we’ll move on to exploring lambda expressions – what they are, how to use them, and specific situations where they can be especially advantageous.

Exploring functional objects

In the Scope, storage duration, and lifetimes section, we looked at various types of object initialization in C++, but our focus was mostly on objects that represent data, such as integers or coordinates. In this section, we’ll shift our attention to another type of object – those designed to be callable, such as a function, but with a crucial difference: they can maintain a state between different function calls. These objects are known as functional objects...

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