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Data Structures Unveiled Concepts by Prasad Lakshmi (6 results)
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Data Structures Unveiled: Concepts and Applications: Data Structures
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
Condition: New.
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Data Structures Unveiled: Concepts and Applications
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2024, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -'Data Structures Unveiled: Concepts and Applications' is a comprehensive guide designed to demystify the foundational elements of data structures and their practical applications. This book covers a wide range of data structures, from basic arrays and linked lists to more complex structures like trees, graphs, and hash tables. Each chapter provides an in-depth exploration of the theoretical concepts, coupled with real-world examples and practical exercises to reinforce learning. It then delves into linear data structures such as stacks, queues, and linked lists, explaining their operations, use cases, and implementation. Subsequent chapters cover non-linear data structures, including binary trees, binary search trees, heaps, AVL trees, and various types of graphs. The book also discusses advanced data structures like B-trees and Tree, which are crucial for efficient data retrieval and storage. In addition to the core concepts, 'Data Structures Unveiled' emphasizes the application of these structures in solving real-world problems. It includes practical coding examples in popular programming languages, demonstrating how to implement and utilize these data structures effectively.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.
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Data Structures Unveiled: Concepts and Applications
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2024, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Englisch.
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Data Structures Unveiled: Concepts and Applications: Data Structures
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
US$ 110.47
US$ 8.69 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Data Structures Unveiled: Concepts and Applications: Data Structures
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
Condition: New. PRINT ON DEMAND.
-
Data Structures Unveiled: Concepts and Applications : Data Structures
Language: English
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207651332 ISBN 13: 9786207651337
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Data Structures Unveiled: Concepts and Applications' is a comprehensive guide designed to demystify the foundational elements of data structures and their practical applications. This book covers a wide range of data structures, from basic arrays and linked lists to more complex structures like trees, graphs, and hash tables. Each chapter provides an in-depth exploration of the theoretical concepts, coupled with real-world examples and practical exercises to reinforce learning. It then delves into linear data structures such as stacks, queues, and linked lists, explaining their operations, use cases, and implementation. Subsequent chapters cover non-linear data structures, including binary trees, binary search trees, heaps, AVL trees, and various types of graphs. The book also discusses advanced data structures like B-trees and Tree, which are crucial for efficient data retrieval and storage. In addition to the core concepts, 'Data Structures Unveiled' emphasizes the application of these structures in solving real-world problems. It includes practical coding examples in popular programming languages, demonstrating how to implement and utilize these data structures effectively.
