Think Python: How to Think Like a Computer Scientist
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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
Nº de artículo: 1345893

Think Python: How to Think Like a Computer Scientist

85% of respondents would recommend this to a friend

Nº de artículo: 1345893

USD 56

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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.

Detalles de producto

Shop Think Python: How to Think Like a Computer Scientist online at a best price in Puerto Rico. 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.

DESCRIPCIÓN DEL PRODUCTO

Think Python: How to Think Like a Computer Scientist

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Preguntas y respuestas de los clientes

  • Pregunta: What topics does 'Think Python: How to Think Like a Computer Scientist 2nd Edition' cover?

    Respuesta: This edition covers a wide range of topics essential for beginners in programming, including data types, control structures, functions, and basic algorithms. Additionally, it delves into key concepts such as recursion, data structures, and object-oriented programming. The book's focus on problem-solving skills makes it ideal for anyone looking to think critically like a computer scientist, providing practical exercises and examples throughout to reinforce learning.
  • Pregunta: Is 'Think Python' suitable for complete beginners in programming?

    Respuesta: 'Think Python: How to Think Like a Computer Scientist 2nd Edition' is designed specifically for individuals with little to no programming experience. It begins with fundamental concepts and gradually introduces more complex topics, making it accessible for newcomers. The clear explanations and numerous exercises help learners apply their knowledge effectively, making it a great choice for those eager to start their journey in computer science.
  • Pregunta: How can I apply the concepts learned in 'Think Python' in real-world scenarios?

    Respuesta: Learners can apply concepts from 'Think Python' in various real-world scenarios, such as developing simple applications, automating tasks, or analyzing data. For instance, understanding algorithms can help optimize solutions for everyday problems, while knowledge of data structures can assist in organizing information efficiently. The skills acquired from this book lay a foundation for further studies or career paths in software development, data analysis, and more.
  • Pregunta: Who is the author of 'Think Python: How to Think Like a Computer Scientist 2nd Edition'?

    Respuesta: The author of 'Think Python' is Allen B. Downey, a well-respected figure in the field of computer science. His expertise is evident in the way he explains complex ideas in an understandable manner. Downey has a background in both academia and industry, which enables him to provide practical insights and real-world relevance in his teaching approach, making the book a valuable resource for aspiring programmers.
  • Pregunta: What is the structure of 'Think Python'?

    Respuesta: 'Think Python: How to Think Like a Computer Scientist 2nd Edition' is structured in a logical sequence that builds upon previous chapters. Each section introduces a new concept, supported by examples and exercises that encourage hands-on practice. This structured approach helps reinforce learning and retention, allowing readers to gradually develop a well-rounded understanding of computer science principles.
  • Pregunta: Does 'Think Python' include exercises for practice?

    Respuesta: 'Think Python' features numerous exercises at the end of each chapter, designed to reinforce the concepts introduced. These exercises range from simple challenges to more complex problems that require critical thinking and application of learned skills. Engaging with these exercises not only enhances understanding but also builds confidence in programming, equipping learners with the skills needed to tackle real-world coding tasks.
  • Pregunta: Can 'Think Python' be used for self-study?

    Respuesta: 'Think Python: How to Think Like a Computer Scientist 2nd Edition' is an excellent resource for self-study. Its clear explanations, systematic approach, and practice exercises make it suitable for individuals learning on their own. Additionally, each chapter builds on previous knowledge, enabling readers to progress at their own pace without the need for formal instruction, making it perfect for self-directed learners.
  • Pregunta: What programming language does 'Think Python' use for examples?

    Respuesta: 'Think Python' uses the Python programming language for its examples and exercises. Python is known for its readability and simplicity, making it an ideal choice for beginners. Through Python, readers can learn fundamental programming concepts without being overwhelmed by complex syntax, allowing them to focus on developing problem-solving skills and logical thinking in their programming endeavors.
  • Pregunta: What is the significance of learning to think like a computer scientist?

    Respuesta: Learning to think like a computer scientist is crucial for developing strong analytical and problem-solving skills. This mindset promotes logical thinking and the ability to break down complex problems into manageable parts. The skills gained from this approach can be applied to various fields beyond programming, including business, science, and everyday life, enhancing decision-making and efficiency in various tasks.
  • Pregunta: Where can I buy 'Think Python: How to Think Like a Computer Scientist 2nd Edition' in Puerto Rico?

    Respuesta: You can purchase 'Think Python: How to Think Like a Computer Scientist 2nd Edition' from Ubuy, a trusted online retailer. Ubuy offers a wide selection of books and is known for its reliable service in Puerto Rico. By shopping on Ubuy, you can easily access this book and enhance your programming knowledge with just a few clicks.

Object-Oriented Design Editorial Review

Think Python: How to Think Like a Computer Scientist is an impressive book for those who want to learn Python from the ground up. The book explains the basics of Python and programming in a straightforward and effective manner that even programming novices can understand. It provides a good understanding and insight into object-oriented programming with Python. The author builds up from basic programming concepts and takes the reader step by step through the language fundamentals. The book provides plenty of examples to help the reader understand the concepts thoroughly. It is a dense dialectic, not a skim-through book, but the hard work will pay off, as you can learn to code with Python quickly. Overall, this book is an ideal guide for anyone who wants to learn Python programming or extend their knowledge of the language.

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ventajas

  • Explains Python and programming basics in an easy-to-understand manner
  • Provides effective insight into object-oriented programming with Python
  • Includes plenty of examples to help readers understand the concepts
  • Suitable for beginners and advanced learners alike
  • Comprehensive and detailed

Contras

  • Can be a bit dense and requires focus to fully grasp concepts

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USD 56

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características y beneficios

  • Hands-on guide to learn Python language.
  • Updated for Python 3.
  • Ideal for high school, college students, self-learners & professionals.
  • Exercises in each chapter to practice programming concepts.
  • Covers debugging techniques, GUI-based programs etc. through case studies.
  • Perfect for beginners and professionals.

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