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. И

Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophis-ticated algorithmic and programming techniques. The author uses a spiral ap-proach 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.

The book includes 30 well-developed independent projects that encourage stu-dents to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implement-ing them as Python programs.

The book's accompanying website - http://discoverCS.denison.edu includes sample code and data files, pointers for further exploration, errata, and links to Python language references.

Containing over 600 homework exercises and over 300 integrated reflection ques-tions, this textbook is appropriate for a first computer science course for com-puter science majors, an introductory scientific computing course, or at a slower pace, any introductory computer science course

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