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Think Python: How to Think Like a Computer Scientist
Think Python: How to Think Like a Computer Scientist is an excellent hands-on guide that takes you through the Python language a step at a time. With exercises in each chapter, learners have the opportunity to try programming concepts as they learn them. The second edition, updated for Python 3, is perfect for beginners and professionals alike.
Think Python: How to Think Like a Computer Scientist
Item #: 1345893

Think Python: How to Think Like a Computer Scientist

Item #: 1345893

NOK 628

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Think Python: How to Think Like a Computer Scientist is an excellent hands-on guide that takes you through the Python language a step at a time. With exercises in each chapter, learners have the opportunity to try programming concepts as they learn them. The second edition, updated for Python 3, is perfect for beginners and professionals alike.
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What Stands Out

Clarity of Concepts
This book simplifies complex programming principles, making it easier for beginners to grasp fundamental concepts and think like a computer scientist. Its clear explanations foster a strong foundational understanding for aspiring programmers.
Practical Examples
Incorporating numerous practical coding examples, the book enables readers to apply theoretical knowledge in real-world scenarios. This hands-on approach enhances learning and promotes problem-solving skills essential for computer science.
Comprehensive Resource
As a complete guide, this edition covers basic to advanced Python topics, offering a thorough exploration of the language. It's an invaluable resource for both beginners and those looking to deepen their programming skills.

Product Details

Shop Think Python: How to Think Like a Computer Scientist online at a best price in Norway. 1491939362
  • Learn Python programming step by step
  • Updated for Python 3
  • Suitable for high school or college students, self-learners, and professionals
  • Exercises included in each chapter
  • Covers basic programming concepts, data structures, and object-oriented design
  • Includes case studies on interface design, data structures, and GUI-based programs
Publisher O'Reilly Media
Publication date January 26, 2016
Edition 2nd
Language English
Print length 292 pages
ISBN-10 1491939362
ISBN-13 978-1491939369
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 0.5 x 9 inches (17.8 x 1.3 x 22.9 cm)
Part of series Learning Python

Who Should Buy?

Suitable For
  • Beginners in Programming

    Ideal for those new to programming, offering foundational concepts and problem-solving techniques in an understandable manner.

  • Self-learners

    Perfect for individuals who prefer self-study, with clear explanations and exercises promoting independent learning of Python.

  • Aspiring Computer Scientists

    Suites those looking to think like a computer scientist, as it emphasizes algorithmic thinking and computational problem solving.

Not Suitable For
  • Experienced Programmers

    Not suitable for seasoned developers who may find the content too basic and not challenging enough for advanced skills.

Product Description

Think Python: How to Think Like a Computer Scientist

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Object-Oriented Design Editorial Review

Think Python: How to Think Like a Computer Scientist is a highly regarded resource for beginners interested in programming and learning Python. The book, published by O'Reilly Media, offers a comprehensive introduction to Python while blending problem-solving concepts effectively. Readers appreciate its clear explanations and insightful examples, making it accessible even for those with limited programming experience. However, some caution that the exercises can be math-heavy, which may deter the math-averse, though the overall learning experience is deemed rewarding. Additional resources enrich the learning journey, positioning this book as a strong choice for both novices and those wanting a refresher in Python programming.

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Pros

  • Clear explanations and insightful examples
  • Good for both beginners and experienced programmers
  • Access to additional resources
  • Teaches problem-solving concepts effectively
  • A valuable introduction to Python programming

Cons

  • Some exercises may be too math-heavy for some users

Product Price History

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