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Debunking C++ Myths

Debunking C++ Myths

By : Alexandru Bolboacă, Ferenc-Lajos Deák
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Debunking C++ Myths

Debunking C++ Myths

By: Alexandru Bolboacă, Ferenc-Lajos Deák

Overview of this book

Think you know C++? Think again. For decades, C++ has been clouded by myths and misunderstandings—from its early design decisions to misconceptions that still linger today. Claims like "C++ is too hard to learn" or "C++ is obsolete" are often rooted in some truth, but they are outdated and fail to capture the language’s ongoing evolution and modern capabilities. Written by industry veterans with over 40 years of combined experience, this book uncovers the myths, exploring their origins and relevance in the context of today’s C++ landscape. It equips you with a deeper understanding of advanced features and best practices to elevate your projects. Each chapter tackles a specific misconception, shedding light on C++'s modern features, such as smart pointers, lambdas, and concurrency. You’ll learn practical strategies to navigate common challenges like code portability and compiler compatibility, as well as how to incorporate modern best practices into your C++ codebase to optimize performance and future-proof your projects. By the end of this book, you’ll have a comprehensive understanding of C++'s evolution, equipping you to make informed decisions and harness its powerful features to enhance your skills, coding practices, and projects.
Table of Contents (15 chapters)
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Common issues with parallelism and concurrency

I’m convinced that the fundamental problem of software development is to mentally translate the static view of a system – the code – into its dynamic behavior, or what the program does when it runs. Programmers run code in their heads every time they’re considering a change, often automatically but always at the expense of mental energy. This is one of the reasons why I believe practices such as test-driven development (TDD) and incremental design are useful; they allow us to move part of this mental energy spending from our brains to running the tests repeatedly.

This fundamental problem is already difficult for single threads, but for parallel or concurrent designs, it adds a new level of challenge. We not only need to imagine what the code will do but also how the code will interact with the other parts of the code that run at the same time. So, imagination and the brain energy required to make sense of...

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