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|a Discovering computer science :
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|a Includes bibliographical references (pages 709-712).
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|a Front Cover; Contents; Preface; Acknowledgments; About the author; Chapter 1: What is computation?; Chapter 2: Elementary computations; Chapter 3: Visualizing abstraction; Chapter 4: Growth and decay; Chapter 5: Forks in the road; Chapter 6: Text, documents, and DNA; Chapter 7: Designing programs; Chapter 8: Data analysis; Chapter 9: Flatland; Chapter 10: Self-similarity and recursion; Chapter 11: Organizing data; Chapter 12: Networks; Chapter 13: Abstract data types; Appendix A: Installing Python; Appendix B: Python library reference; Bibliography; Back Cover.
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|a Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses. -- Provided by publisher.
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|i Print version:
|a Havill, Jessen.
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|d Boca Raton : Taylor & Francis, 2015
|z 9781482254143
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