Details for: Mahmmoud M. Data Structures in Depth Using C++. A Comprehensive Guide..2025 Fix

Mahmmoud M. Data Structures in Depth Using C++. A Comprehensive Guide..2025 Fix

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Textbook in PDF format 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. Data structures are essential constructs that organize and store data within a computer’s memory. They form the backbone of effective software development, enabling efficient data management to facilitate easy access, modification, and maintenance. Unlike file organization, which arranges data on disk storage, or data warehousing and databases, which are designed for large-scale data storage and retrieval across multiple platforms, data structures are primarily concerned with the optimization of performance and efficiency for specific algorithmic requirements in real-time processing environments. The design and selection of data structures are critical, focusing on leveraging the characteristics of memory usage to enhance application performance. An algorithm is a finite sequence of well-defined, computer-implementable instructions, typically used to solve a class of problems or to perform a computation. Algorithms are essential for specifying how tasks are executed and in what order. They take one or more inputs, process them through a series of steps, and produce an output or a solution to the problem. Data structures are the building blocks of algorithms, and the choice of a data structure can significantly impact the performance of an algorithm. In some cases, using the wrong data structure can make an algorithm unusable. 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. Introduction Introduction Primary Building Blocks Arrays and Dynamic Arrays Linked List Stack and Queue Hash Tables Trees Graphs Specialized Data Structures and Techniques Applications and Real-World Examples

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