Think Python: How to Think Like a Computer Scientist 3rd Edition
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Think Python: How to Think Like a Computer Scientist 3rd Edition
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.
Think Python: How to Think Like a Computer Scientist 3rd Edition
Nº de artículo: 101760592

Think Python: How to Think Like a Computer Scientist 3rd Edition

Nº de artículo: 101760592

BOB 337

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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.

Detalles de producto

Shop Think Python: How to Think Like a Computer Scientist 3rd Edition online at a best price in Bolivia. 1098155432
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Beginners in Programming

    Ideal for novices seeking a foundational understanding of programming concepts using Python as a teaching language.

  • Self-learners

    Perfect for individuals motivated to learn programming independently, with comprehensive exercises and examples provided.

  • Computer Science Students

    Useful for college students needing a accessible introduction to computer science principles alongside their coursework.

Not Suitable For
  • Advanced Programmers

    Not suitable for experienced developers as it covers basic concepts that they likely already understand.

  • Non-technical Users

    People without any technical background may struggle to grasp the programming concepts presented in the book.

  • Certification Seekers

    This book does not focus on preparation for formal certifications, which might disappoint those pursuing professional credentials.

DESCRIPCIÓN DEL PRODUCTO

Think Python: How to Think Like a Computer Scientist 3rd Edition

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Preguntas y respuestas de los clientes

  • Pregunta: Who is this book for?

    Respuesta: Primarily for beginners who have never programmed before and those with some experience in another programming language.
  • Pregunta: What makes this book different?

    Respuesta: The book focuses on defining terms, being concise, and offering exercises for practice.
  • Pregunta: What skills can learners expect to gain?

    Respuesta: Learners can expect to gain a solid foundation in Python programming, including knowledge of functions, data structures, and object-oriented design.

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ventajas

  • Clear and concise explanations
  • Great for beginners
  • Engaging exercises
  • Well-structured content
  • Real-world examples

Contras

  • Some exercises may be challenging.

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BOB 337

Haz tu pedido ahora y recíbelo por ahí Sábado, Junio 27

QTY:

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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

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características y beneficios

  • 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