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Debunking C++ Myths

You're reading from   Debunking C++ Myths Embark on an insightful journey to uncover the truths behind popular C++ myths and misconceptions

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Product type Paperback
Published in Dec 2024
Publisher Packt
ISBN-13 9781835884782
Length 226 pages
Edition 1st Edition
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Authors (2):
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Ferenc Deak Ferenc Deak
Author Profile Icon Ferenc Deak
Ferenc Deak
Alexandru Bolboaca Alexandru Bolboaca
Author Profile Icon Alexandru Bolboaca
Alexandru Bolboaca
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: C++ Is Very Difficult to Learn 2. Chapter 2: Every C++ Program Is Standard-Compliant FREE CHAPTER 3. Chapter 3: There’s a Single C++, and It Is Object-Oriented 4. Chapter 4: The Main() Function is the Entry Point to Your Application 5. Chapter 5: In a C++ Class, Order Must There Be 6. Chapter 6: C++ Is Not Memory-Safe 7. Chapter 7: There’s No Simple Way to Do Parallelism and Concurrency in C++ 8. Chapter 8: The Fastest C++ Code is Inline Assembly 9. Chapter 9: C++ Is Beautiful 10. Chapter 10: There Are No Libraries For Modern Programming in C++ 11. Chapter 11: C++ Is Backward Compatible ...Even with C 12. Chapter 12: Rust Will Replace C++ 13. Index 14. Other Books You May Enjoy

What C++ still needs

In this book, we have seen some of the challenges of C++. A standard package manager would be very helpful, even if the community follows in the footsteps of Java and C# and picks an open source de-facto standard. A standard unit testing library would be very beneficial, even if the existing code might take a long while to migrate if it ever does.

Unicode and utf-8 support still need improvement. Standard support for multithreading is at the beginning. Safety profiles would be extremely useful for minimizing memory safety issues.

It’s clear from this list that C++ has a lot of things to improve. The good news is that the standardization committee is hard at work on some of these issues. The less good news is that it takes time to define these improvements, more time to adapt compilers, and even more time to adapt existing code. Hopefully, Gen AI will be capable enough to speed up these improvements while maintaining code integrity.

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