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    A comprehensive guide to mastering data structures and algorithms essential for computer science and programming. This textbook covers fundamental concepts, implementations, and practical applications with clear explanations and examples.

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    A comprehensive guide to understanding and implementing data structures and algorithms using Java. This book provides practical examples and clear explanations for both beginners and intermediate programmers.

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    Data Structures and Algorithms Using Python

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    A comprehensive guide to data structures and algorithms using Python. This book covers fundamental concepts and practical implementations essential for computer science education and software development.

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    A comprehensive guide to understanding data structures using the C programming language. This in-depth resource covers fundamental concepts and practical implementations for aspiring programmers.

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  • -20% Data Structures Using C

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    A comprehensive guide to understanding and implementing data structures using the C programming language. This book covers fundamental concepts and practical applications essential for computer science students and professionals.

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    Data Structures Using C by E Balagurusamy | 2nd Edition

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    Data Structures Using C by E Balagurusamy is a comprehensive guide to mastering fundamental data structures and their implementation in the C programming language. This 2nd edition provides clear explanations, practical examples, and exercises to help students and professionals build strong programming foundations.

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    Data Visualization with Excel Dashboards and Reports, An Indian Adaptation

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    Learn to create professional data visualizations and interactive dashboards using Microsoft Excel. This Indian adaptation covers essential techniques for transforming raw data into compelling visual reports.

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    Data Visualization: Exploring and Explaining with Data with MindTap, 2nd Edition

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    Data Wrangling with JavaScript teaches you how to transform and clean messy data using JavaScript. Learn practical techniques to prepare your data for analysis and visualization.

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