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

Working with tabular and rectangular data

Working with tabular and rectangular data in C++ is fundamental to data analysis and manipulation. Tabular data, or rectangular data, is structured in rows and columns, resembling a table or spreadsheet. C++ provides various techniques and libraries that enable efficient handling and processing of such data. This section will explore the key concepts and approaches for working with tabular and rectangular data in C++.

To represent tabular data in C++, the most common approach is to use two-dimensional arrays or vectors. Arrays provide a straightforward way to store data in a grid-like structure, where each element represents a specific cell in the table. Alternatively, vectors of vectors can be used to create a more flexible and resizable structure, allowing for dynamic manipulation of the tabular data.

When working with tabular data, it is essential to consider techniques for data input and output. C++ provides various mechanisms to...