This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. This textbook has three ...
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This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. This textbook has three key features: - A strong focus on problem solving introduces students to fundamental data structures and algorithms by providing a very readable text without introducing an overwhelming amount of new language syntax. - Algorithm analysis in terms of Big O running time is introduced early and applied throughout. - Python is used to facilitate the success of beginning students in using and mastering data structures and algorithms.
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