Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Questions

  1. What are the key considerations for organizing a large-scale cross-platform project in C++?
  2. What are the differences between horizontal and vertical scaling, and what are their respective advantages and use cases?
  3. How can C++ applications be scaled effectively, considering multithreading, parallel computing, and efficient resource utilization?
  4. What are the important factors to consider when designing data-intensive applications in C++, including data storage, processing, and memory management?
  5. How can modular architecture and abstraction layers be leveraged in large-scale cross-platform projects to ensure scalability and maintainability?
  6. What are the best practices to optimize performance and ensure data integrity and security in data-intensive applications developed in C++?
  7. How would you differentiate between different client applications when implementing a server application?