BiteSize Python for Absolute Beginners
eBook - ePub

BiteSize Python for Absolute Beginners

With Practice Labs, Real-World Examples, and Generative AI Assistance

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

BiteSize Python for Absolute Beginners

With Practice Labs, Real-World Examples, and Generative AI Assistance

About this book

As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.

While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You'll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You'll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI into your learning toolkit, using it for feedback, practice exercises, code reviews, and exploring advanced topics. Recommended AI prompts can help you identify areas for improvement, review key concepts, and track your progress.

This book is designed for absolute beginners with no prior programming experience. It is ideal for individuals with busy schedules or limited time for studying.

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Yes, you can access BiteSize Python for Absolute Beginners by Di Wu in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. List of Figures
  9. List of Tables
  10. Foreword
  11. Preface
  12. Author Bios
  13. Section I Python Fundamentals
  14. Section II Flow Control and Functions
  15. Section III Data Structures
  16. Section IV Data Collections
  17. What is Next?
  18. Index