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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.The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing 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 questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.
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Product details
Series: Chapman & Hall/CRC Textbooks in Computing (Book 15)
Paperback: 750 pages
Publisher: Chapman and Hall/CRC; 1 edition (July 10, 2015)
Language: English
ISBN-10: 9781482254143
ISBN-13: 978-1482254143
ASIN: 148225414X
Product Dimensions:
7 x 10 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
8 customer reviews
Amazon Best Sellers Rank:
#833,215 in Books (See Top 100 in Books)
Very well written and understandable. Highly recommend the Bookshelf app - you can get access to the ebook on an iPhone, search for words or chapters, and have it read the book to you! Clearly the author knows comp sci :)
If you want a smooth ramp into a complex subject like Computer Science, this is it. This should be on every programmer's shelves.
I dislike how there is no way to check the solutions.
This book is incredibly easy to follow when compared to other computer science textbooks, and is written in a style that is both entertaining and engaging. The book is arranged according to a progression of computational concepts rather than as a manual of the Python language, and emphasizes development of problem-solving skills over memorization of methods and function. The book also boasts a massive number of exercises and projects of varying difficulty levels, to cumulatively apply the concepts that have been taught over the course of the book. All in all, one of the best computer science textbooks out on the market.
My introductory CS class used this book and it was a good choice for sure. The book explained things clearly and the programming assignments were well designed. Python is a good choice for a first language. Would recommend!
I took an intro computer science course this past fall that used this textbook. The textbook organized concepts in a logical sequence, and chapters were very readable. End of chapter exercises were varied and fun
The book was very well organized and the lessons and exercises built on one another very well. The projects inside the books were also extremely interesting and fun, and covered a wide range of disciplines. The concepts were presented very clearly throughout the book.
This book was extremely easy to follow, which made learning computer science a lot easier. The chapters all linked together really well, and the projects were challenging yet doable. Overall, one of the best text books I have used in a science class.
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