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Python for Software Design: How to Think Like a Computer Scientist
89% of respondents would recommend this to a friend
BTN 15355
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Python for Software Design offers a concise introduction to software design using Python, making programming accessible even for beginners.
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What Stands Out
Product Details
| Publisher | Cambridge University Press |
| Publication date | March 9, 2009 |
| Edition | 1st |
| Language | English |
| Print length | 270 pages |
| ISBN-10 | 0521898110 |
| ISBN-13 | 978-0521898119 |
| Item Weight | 1.41 pounds (640 grams) |
| Dimensions | 7 x 0.5 x 10 inches (17.8 x 1.3 x 25.4 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for newcomers to programming who need foundational knowledge with practical Python applications and design principles.
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Computer Science Students
Beneficial for students seeking to understand computer science concepts through Python, enhancing their problem-solving skills.
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Self-Learners
Perfect for individuals who prefer self-study and want structured material to learn Python programming effectively.
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Advanced Developers
Not suitable for experienced programmers looking for advanced topics, as it mainly focuses on foundational concepts.
Product Description
Python for Software Design: How to Think Like a Computer Scientist
Customer Questions & Answers
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Question:
Is this book suitable for complete beginners?
Answer: Yes, it is specifically designed for those with no prior programming experience. -
Question:
What kind of exercises are included in the book?
Answer: The book features a variety of exercises, from short examples to substantial projects, enhancing hands-on learning. -
Question:
Where can I find additional resources and code examples?
Answer: Exercise solutions and code examples can be found at thinkpython.com, along with additional Python programs.
Python Editorial Review
**** "Python for Software Design: How to Think Like a Computer Scientist" has garnered a positive reception among beginner programmers and individuals keen to dive into learning Python. Many readers appreciate the book's clear writing style and comprehensive coverage of fundamental concepts in programming. The author's use of engaging Monty Python references throughout the text adds a light-hearted element that helps to demystify complex ideas. While the book is hailed as an excellent resource for newcomers to programming, some readers have found the exercises and examples may become challenging too quickly, particularly for those without a robust mathematical background. As one reviewer shared, their experience as a filmmaker left them ill-prepared for the mathematical demands within the text, prompting them to seek alternative resources that focus more on practical coding skills without requiring extensive algebra knowledge. Despite these challenges, many users still credit the book as a foundational tool that guided them from complete novices to competent programmers. It has been noted as a favorite among various titles aimed at beginners, with readers highlighting that it's particularly useful for those who are entirely new to coding. Furthermore, the availability of a free version and sequel by the same author allows learners to explore additional resources, solidifying this book's beneficial role in their programming journey. Overall, "Python for Software Design" seems well-suited for its target audience but may require supplementary resources for those who struggle with the mathematical aspects of programming. **
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Pros
- Well-written and easy to understand.
- Comprehensive coverage of programming fundamentals.
- Engaging use of humor with Monty Python references.
- Suitable for complete beginners with little to no coding experience.
- Free version available online, plus recommended follow-up material.
Cons
- Exercises and examples may be too challenging for those without a strong math background.
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BTN 15355
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Features & Benefits
- Designed for beginners with no prior programming experience.
- Gradually introduces basic concepts of software design.
- Breaks down complex topics like recursion and object-oriented programming into digestible steps.
- Emphasizes the programming process and includes a focus on debugging.
- Contains a wide range of exercises for practical application.
- Solutions and code examples available online for additional support.
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