Python for Software Design: How to Think Like a Computer Scientist
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Python for Software Design: How to Think Like a Computer Scientist
Python for Software Design offers a concise introduction to software design using Python, making programming accessible even for beginners.
Python for Software Design: How to Think Like a Computer Scientist
Numéro d'article: 87006506

Python for Software Design: How to Think Like a Computer Scientist

89% des répondants recommanderaient ceci à un ami

Numéro d'article: 87006506

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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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Ce qui se démarque

Comprehensive Learning
Offers a detailed introduction to programming and software design principles, making it suitable for beginners and those looking to enhance their problem-solving skills in Python.
Educational Approach
Utilizes a pedagogy that emphasizes critical thinking and understanding of computer science concepts, enabling readers to develop a strong foundation in programming.
Practical Examples
Incorporates real-world examples and exercises that engage readers, helping them apply concepts effectively and solidify learning through practical application and hands-on experience.

Détails du produit

Shop Python for Software Design: How to Think Like a Computer Scientist online at a best price in Burkina Faso. 0521898110
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)

À qui est-ce destiné ?

Suitable For
  • Beginner Programmers

    Ideal for newcomers to programming who need foundational knowledge with practical Python applications and design principles.

  • Computer Science Students

    Beneficial for students seeking to understand computer science concepts through Python, enhancing their problem-solving skills.

  • Self-Learners

    Perfect for individuals who prefer self-study and want structured material to learn Python programming effectively.

Not Suitable For
  • Advanced Developers

    Not suitable for experienced programmers looking for advanced topics, as it mainly focuses on foundational concepts.

DESCRIPTION DU PRODUIT

Python for Software Design: How to Think Like a Computer Scientist

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Questions et réponses des clients

  • question: What is 'Python for Software Design: How to Think Like a Computer Scientist' about?

    répondre: This book introduces the fundamental concepts of computer science using the Python programming language. It encourages readers to think logically and develop problem-solving skills, making it suitable for beginners and experienced programmers alike. With an emphasis on designing software efficiently, the book covers topics like algorithms, data structures, and object-oriented programming. Readers will benefit from hands-on exercises that reinforce the concepts, allowing them to apply what they've learned in real-world scenarios.
  • question: Who is the target audience for this book?

    répondre: The book targets a diverse audience that includes students new to programming, educators teaching computer science, and professionals seeking to enhance their software design skills. Its approachable language and structured learning material make it ideal for those with little to no prior experience in programming. Furthermore, experienced programmers can find valuable insights into software design principles that can refine their coding practices and improve overall software quality.
  • question: What programming concepts does this book cover?

    répondre: Key programming concepts covered in 'Python for Software Design' include basic syntax, control structures, functions, data structures, and object-oriented programming. The book breaks down complex topics into digestible sections, making it easier for readers to grasp each concept. Practical examples and exercises allow readers to implement these concepts directly in Python, which reinforces learning and prepares them for real-world application in software development tasks.
  • question: How does this book differ from other Python programming books?

    répondre: This book stands out by focusing on software design principles rather than merely teaching syntax. The approach emphasizes thinking like a computer scientist, which helps readers to not only write code but also to design effective programs. It integrates theory with practice, encouraging a deeper understanding of how to approach problem-solving and software challenges. This sets it apart from traditional programming books that may not emphasize design and problem-solving as thoroughly.
  • question: Is prior programming experience required to read this book?

    répondre: No prior programming experience is required to read 'Python for Software Design.' The book is crafted to introduce beginners to programming concepts through Python in an accessible manner. Each chapter builds on the previous one, ensuring that newcomers can follow along without feeling overwhelmed. Additionally, educators can use this book for teaching purposes, making it a suitable resource for both self-learners and classroom settings.
  • question: Are there practical exercises in the book?

    répondre: Yes, the book contains numerous practical exercises that complement each chapter's lessons. These exercises encourage readers to apply what they have learned by solving problems and writing code. By working through these exercises, readers can solidify their understanding and gain proficiency in Python programming. This hands-on approach not only enhances learning but also prepares readers for real-world programming tasks they may encounter in their careers.
  • question: Can this book help in preparing for coding interviews?

    répondre: Absolutely, 'Python for Software Design' lays a solid foundation in programming concepts and problem-solving skills that are vital for coding interviews. The book covers algorithms and data structures, which are frequent topics in technical interviews. By practicing the exercises and examples provided, readers can enhance their analytical thinking and coding capabilities, giving them a desirable edge during interview situations.
  • question: What format is the book available in?

    répondre: The book is typically available in various formats, including print, eBook, and sometimes as an audiobook. The print version offers a tactile reading experience and is favored by many students for note-taking. The eBook format allows for easy accessibility on various devices, including tablets and smartphones, making it convenient for reading on-the-go. These multiple formats cater to different reading preferences and study habits, enhancing the learning experience.
  • question: What is the level of detail in the explanations?

    répondre: The explanations in 'Python for Software Design' are detailed yet digestible, making complex topics accessible to novices. Each concept is carefully broken down into manageable parts, supplemented with examples and analogies. This approach not only aids comprehension but also encourages independent thinking. Readers will find that this clarity of explanation allows for a more engaging and effective learning experience, promoting a deeper understanding of programming.
  • question: Where can I buy 'Python For Software Design: How To Think Like A Computer Scientist'?

    répondre: You can buy 'Python For Software Design: How To Think Like A Computer Scientist' on Ubuy, which offers a convenient shopping experience for various products, including educational books. Ubuy provides services tailored to customers in Burkina Faso, making it an ideal platform for purchasing this book. Their user-friendly interface allows you to quickly find what you need and make the purchasing process seamless.

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Caractéristiques et avantages

  • 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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