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101760592
Think Python: How to Think Like a Computer Scientist
88% of respondents would recommend this to a friend
Item #:
101760592
ANG 87
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Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time—beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design.
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What Stands Out
Foundational Skills
Develop essential programming skills through a strong focus on problem-solving and algorithmic thinking, making it ideal for beginners and those transitioning to more advanced concepts.
Clear Explanations
Enjoy well-structured content with clear explanations that demystify complex topics, enhancing comprehension for readers of various backgrounds and learning styles.
Hands-On Practice
Engage with practical exercises and real-world examples that reinforce learning, allowing readers to apply concepts actively and solidify their understanding of programming.
Product Details
- Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time—beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design. This revised third edition reflects the growing role of large language models (LLMs) in programming and includes exercises on effective LLM prompts, testing code, and debugging skills. With this popular hands-on guide at your side, you'll get: A grounding in the syntax and semantics of the Python language A clear definition of each programming concept, with emphasis on clear vocabulary How to work with variables, statements, functions, and data structures in a logical progression Techniques for reading and writing files and databases A solid understanding of objects, methods, and object-oriented programming Debugging strategies for syntax, runtime, and semantic errors An introduction to recursion, interface design, data structures, and basic algorithms How to use LLMs—including effective prompts, testing code, and debugging And more
| Publisher | O'Reilly Media |
| Publication date | July 2, 2024 |
| Edition | 3rd |
| Language | English |
| Print length | 325 pages |
| ISBN-10 | 1098155432 |
| ISBN-13 | 978-1098155438 |
| Item Weight | 1.2 pounds (540 grams) |
| Dimensions | 7 x 0.75 x 9.25 inches (17.8 x 1.9 x 23.5 cm) |
Who Should Buy?
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Beginners in Programming
Ideal for novices seeking a foundational understanding of programming concepts using Python as a teaching language.
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Self-learners
Perfect for individuals motivated to learn programming independently, with comprehensive exercises and examples provided.
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Computer Science Students
Useful for college students needing a accessible introduction to computer science principles alongside their coursework.
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Advanced Programmers
Not suitable for experienced developers as it covers basic concepts that they likely already understand.
Product Description
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Customer Questions & Answers
-
Question:
What is 'Think Python: How To Think Like A Computer Scientist' about?
Answer: This book serves as an introduction to computer science concepts using the Python programming language. It promotes computational thinking and problem-solving techniques. Rather than focusing solely on programming syntax, the book teaches readers to think logically and analytically, making it suitable for beginners. It is particularly useful for students or anyone new to programming who wishes to understand programming concepts and computational theories effectively. -
Question:
Who is the target audience for 'Think Python'?
Answer: The target audience for 'Think Python' includes beginners with no prior programming experience, educators looking for teaching resources, and even seasoned programmers who want a refresher on basic concepts. This approach makes it valuable in both academic settings and for self-learners. Its pedagogical style is crafted to make complex theories approachable, ensuring that readers gain foundational skills applicable in various programming environments. -
Question:
What programming concepts are covered in this book?
Answer: The book covers essential programming concepts such as variables, conditionals, loops, functions, and data structures like lists and dictionaries. It also delves into more advanced topics like recursion and object-oriented programming. Each concept is introduced progressively, ensuring a solid grasp on fundamental principles before moving on to intricate topics. This structured approach benefits readers by enabling them to build confidence and competence as they advance through the lessons. -
Question:
Is 'Think Python' suitable for self-study?
Answer: Yes, 'Think Python' is perfectly suited for self-study. Its clear explanations, examples, and exercises encourage independent learning. Each chapter reinforces concepts through practical coding problems, allowing learners to practice their skills. This format makes it ideal for individuals aiming to learn Python or explore computational thinking on their own schedule, fostering an adaptable study pace that can fit various lifestyles. -
Question:
Does this book include exercises or projects?
Answer: Absolutely! 'Think Python' includes numerous exercises and projects throughout its chapters. These practical tasks range from simple programming challenges to more complex problems, guiding readers to apply what they’ve learned. Engaging with these exercises enhances retention of the material while building the confidence needed to tackle real-world programming challenges, making the learning process both effective and enjoyable. -
Question:
Can 'Think Python' be used in an academic course?
Answer: 'Think Python' is highly suitable for inclusion in university or high school computer science curricula. Its structured approach aligns well with educational outcomes, teaching critical skills relevant to both introductory courses and further studies in programming. Additionally, educators can leverage the book's exercises as class assignments or homework, facilitating deeper understanding and practical experience among students. -
Question:
Are there resources available to complement the book?
Answer: Yes, 'Think Python' is often accompanied by supplementary resources such as online course materials, video lectures, and coding platforms that further enhance the learning experience. Many educators and learning platforms utilize the book, providing additional structured lessons and support systems, allowing readers to engage with the content through multiple formats and reinforcing their understanding of core concepts. -
Question:
What makes this book different from other Python programming books?
Answer: 'Think Python' distinguishes itself by emphasizing the development of problem-solving skills over rote memorization of code syntax. Its focus on computational thinking equips readers with a mindset crucial for solving programming issues efficiently. This innovative approach ensures that readers not only learn how to write code but also develop a deeper understanding of how to approach programming challenges creatively and logically. -
Question:
What prerequisites do I need before reading 'Think Python'?
Answer: There are no strict prerequisites to start reading 'Think Python'. A basic understanding of mathematics can be helpful but is not necessary. The book is designed for total beginners, making it accessible for anyone willing to learn. Readers should come with an open mind and readiness to engage with new concepts, enabling a smooth transition into the world of programming and computer science. -
Question:
Where can I buy Think Python: How To Think Like A Computer Scientist?
Answer: You can purchase 'Think Python: How To Think Like A Computer Scientist' on Ubuy in curacao. Ubuy offers a reliable platform with various shipping options and customer support, ensuring you can acquire this insightful book conveniently. By selecting Ubuy, you also benefit from their user-friendly interface and purchasing features designed to enhance your shopping experience.
Tools Editorial Review
Think Python: How to Think Like a Computer Scientist is a well-structured resource for both beginners and experienced programmers looking to enhance their understanding of Python. The book, published by O'Reilly Media, spans 325 pages and is noted for its clear explanations and logical organization. Readers have praised its ability to connect Python programming with fundamental computer science concepts, making it an enlightening read. With a compact format, the third edition offers valuable insights without overwhelming new learners. Chapters are designed to be approachable, gradually introducing key programming ideas while reinforcing essential skills, thus appealing to a wide audience of learners.
Customer Reviews & Ratings
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Pros
- Clear and logical ordering of content
- Ideal for both beginners and experienced users
- Engaging examples make concepts easy to grasp
- Compact format facilitates focused learning
- Offers a solid foundation for further exploration
Cons
- May not dive deep into advanced programming topics
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Features & Benefits
- Python is recommended for beginners and in-demand skill
- Clear and concise guide for learning Python
- Covers basic programming concepts, functions, data structures, and object-oriented design
- Includes exercises at the end of each chapter for practice
- Reflects the role of large language models in programming
- Provides guidance on effective LLM prompts, testing code, and debugging skills
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