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Full Description
Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++.
You'll explore crucial topics to optimize performance and enhance their careers in software development. In today's environment of growing complexity and problem scale, a profound grasp of C++ data structures, including efficient data handling and storage, is more relevant than ever. This book introduces fundamental principles of data structures and design, progressing to essential concepts for high-performance application.
Finally, you'll explore the application of data structures in real-world scenarios, including case studies and use in machine learning and big data. This practical, step-by-step approach, featuring numerous code examples, performance analysis and best practices, is written with a wide range of C++ programmers in mind. So, if you're looking to solve complex data structure problems using C++, this book is your complete guide.
What You Will Learn
Write robust and efficient C++ code.
Apply data structures in real-world scenarios.
Transition from basic to advanced data structures
Understand best practices and performance analysis.
Design a flexible and efficient data structure library.
Who This Book is For
Software developers and engineers seeking to deepen their knowledge of data structures and enhanced coding efficiency, and ideal for those with a foundational understanding of C++ syntax. Secondary audiences include entry-level programmers seeking deeper dive into data structures, enhancing their skills, and preparing them for more advanced programming tasks. Finally, computer science students or programmers aiming to transition to C++ may find value in this book.
Contents
Chapter 1: Introduction.- Chapter 2: Primary Building Blocks.- Chapter 3: Arrays and Dynamic Arrays.- Chapter 4: Linked List.- Chapter 5: Stack and Queue.- Chapter 6: Hash Tables.- Chapter 7: Trees.- Chapter 8: Graphs.- Chapter 9: Specialized Data Structures and Techniques.- Chapter 10: Applications and Real-World Examples.
