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Data Structures

This module explores data structures, focusing on the organization and management of data within software applications. It covers essential structures such as arrays, linked lists, stacks, queues, trees, and graphs, and their applications in efficient data handling and algorithm implementation.

Portalas > Kibernetinis saugumas > Data Structures

Mokymo programos kūrėjas

Miller, Bradley N., and David L. Ranum. Problem Solving with Algorithms and Data Structures Using Python. 2nd ed. Wilsonville, OR: Franklin, Beedle & Associates, 2011.

Augenstein, Moshe, Yedidyah Langsam, and Aaron M. Tenenbaum. Data Structures Using Java. Upper Saddle River, N.J: Pearson Prentice Hall, 2003.

Carrano, Frank M., and Timothy Henry. Data Abstraction & Problem Solving with C++: Walls and Mirrors. 7th ed. Boston: Pearson, 2017.

Langsam, Yedidyah, Moshe Augenstein, Aaron M. Tenenbaum, and Aaron M. Tenenbaum. Data Structures Using C and C++. 2nd ed. Upper Saddle River, N.J: Prentice Hall, 1996.

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Apply for: Miller, Bradley N., and David L. Ranum. Problem Solving with Algorithms and Data Structures Using Python. 2nd ed. Wilsonville, OR: Franklin, Beedle & Associates, 2011.

Miller, Bradley N., and David L. Ranum. Problem Solving with Algorithms and Data Structures Using Python. 2nd ed. Wilsonville, OR: Franklin, Beedle & Associates, 2011.

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