Book Image

Expert C++

By : Vardan Grigoryan, Shunguang Wu
Book Image

Expert C++

By: Vardan Grigoryan, Shunguang Wu

Overview of this book

C++ has evolved over the years and the latest release – C++20 – is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you’ll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You’ll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you’ll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you’ll have gained expertise in real-world application development, including the process of designing complex software.
Table of Contents (22 chapters)
1
Section 1: Under the Hood of C++ Programming
7
Section 2: Designing Robust and Efficient Applications
17
Section 3: C++ in the AI World

Exploring traits

Generic programming means writing code that works with any data type under certain requirements. It is the most efficient way of delivering reusable high-quality code in the software engineering industry. However, there are times in generic programming where being generic just isn't good enough. Whenever the differences between types are too complex, it is very hard for an efficient generic to optimize a common implement. For example, while implementing a sort function template, if we know the argument type is a linked list but not an array, a different strategy will be implemented to optimize the performance.

Although template specialization is one approach to overcome this problem, it doesn't provide type-related information in a broad way. A type trait is a technique that's used to collect information about the type. With its help, we can make...