Problem Solving with Python (Paperback)
Language: English
Published by MIT Press Ltd, 2026
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 88.98
Quantity: 1 available
Add to basketItem description from seller
Paperback. Plt;bPgt;An innovative new way to teach computational thinking and problem solving that makes programming accessible to anyone.Plt;/bPgt;Plt;bPgt;An innovative new way to teach computational thinking and problem solving that makes programming accessible to anyone.Plt;/bPgt;Plt;brPgt;Plt;brPgt;Problem solving with computation has become a basic literacy required of modern life, but the traditional way we teach students to code doesnP#8217;t work for everyone. This innovative textbook provides a highly engaging alternative approach. Plt;iPgt;Problem Solving with PythonPlt;/iPgt; is a hands-on introduction to computational thinking, useful computer science concepts, and the art of computer programming, where skills and ideas are introduced in service of solving an interesting problem.Plt;brPgt;Plt;brPgt;Each chapter begins with an ambiguous problem description drawn from everyday life that resolves with a piece of working code. Gradually progressing in difficulty, the bookP#8217;s three-act structure charts a clear developmental path from novice to skilled programmer. Michael Smith first presents the basics of programming through repeated application of a worklist algorithm, allowing the reader to become comfortable in problem decomposition and fundamentals before attempting more complicated algorithms and approaches. He then shows how to solve real-world problems using the power of abstraction, algorithms, and the right data structures. Finally, the exercises in the bookP#8217;s last act fully transition the reader from programmer to problem solver. Based on the authorP#39;s popular class at Harvard, this accessible textbook builds conceptual understanding through practical skills development to enable anyone to master the what and how of computational thinking.Plt;brPgt;Plt;ulPgt;Plt;liPgt;Prioritizes the development of computational thinkingPlt;/liPgt;Plt;liPgt;Does not assume students are intrinsically motivated to learn programmingPlt;/liPgt;Plt;liPgt;Emphasizes active learning through real-world problems and case studiesPlt;/liPgt;Plt;liPgt;Is suitable for students and self-learners from all backgroundsPlt;/liPgt;Plt;liPgt;Includes coverage of data representation, arithmetic and logical operations, algorithms, networks, computability, operating systems and compilers, memory systems, and securityPlt;/liPgt;Plt;liPgt;Offers extensive ancillary resourcesPlt;/liPgt;Plt;/ulPgt; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9780262552844
- Title
- Problem Solving with Python (Paperback)
- Author
- Michael D. Smith
- Publisher
- MIT Press Ltd
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0262552841
- ISBN 13
- 9780262552844
- Illustrator
- Albright, Victoria
Each chapter begins with an ambiguous problem description drawn from everyday life that resolves with a piece of working code. Gradually progressing in difficulty, the book’s three-act structure charts a clear developmental path from novice to skilled programmer. Michael Smith first presents the basics of programming through repeated application of a worklist algorithm, allowing the reader to become comfortable in problem decomposition and fundamentals before attempting more complicated algorithms and approaches. He then shows how to solve real-world problems using the power of abstraction, algorithms, and the right data structures. Finally, the exercises in the book’s last act fully transition the reader from programmer to problem solver. Based on the author's popular class at Harvard, this accessible textbook builds conceptual understanding through practical skills development to enable anyone to master the what and how of computational thinking.
- Prioritizes the development of computational thinking
- Does not assume students are intrinsically motivated to learn programming
- Emphasizes active learning through real-world problems and case studies
- Is suitable for students and self-learners from all backgrounds
- Includes coverage of data representation, arithmetic and logical operations, algorithms, networks, computability, operating systems and compilers, memory systems, and security
- Offers extensive ancillary resources
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AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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