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Expert C++ - Second Edition

You're reading from  Expert C++ - Second Edition

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781804617830
Pages 604 pages
Edition 2nd Edition
Languages
Authors (5):
Marcelo Guerra Hahn Marcelo Guerra Hahn
Profile icon Marcelo Guerra Hahn
Araks Tigranyan Araks Tigranyan
Profile icon Araks Tigranyan
John Asatryan John Asatryan
Profile icon John Asatryan
Vardan Grigoryan Vardan Grigoryan
Profile icon Vardan Grigoryan
Shunguang Wu Shunguang Wu
Profile icon Shunguang Wu
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Table of Contents (24) Chapters

Preface Part 1:Under the Hood of C++ Programming
Chapter 1: Building C++ Applications Chapter 2: Beyond Object-Oriented Programming Chapter 3: Understanding and Designing Templates Chapter 4: Template Meta Programming Chapter 5: Memory Management and Smart Pointers Part 2: Designing Robust and Efficient Applications
Chapter 6: Digging into Data Structures and Algorithms in STL Chapter 7: Advanced Data Structures Chapter 8: Functional Programming Chapter 9: Concurrency and Multithreading Chapter 10: Designing Concurrent Data Structures Chapter 11: Designing World-Ready Applications Chapter 12: Incorporating Design Patterns in C++ Applications Chapter 13: Networking and Security Chapter 14: Debugging and Testing Chapter 15: Large-Scale Application Design Part 3:C++ in the AI World
Chapter 16: Understanding and Using C++ in Machine Learning Tasks Chapter 17: Using C++ in Data Science Chapter 18: Designing and Implementing a Data Analysis Framework Index Other Books You May Enjoy

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...

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