Learning Advanced Python by Studying Open Source Projects
eBook - ePub

Learning Advanced Python by Studying Open Source Projects

  1. 126 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Learning Advanced Python by Studying Open Source Projects

About this book

This book is one of its own kind. It is not an encyclopedia or a hands-on tutorial that traps readers in the tutorial hell. It is a distillation of just one common Python user's learning experience. The experience is packaged with exceptional teaching techniques, careful dependence unraveling and, most importantly, passion.

Learning Advanced Python by Studying Open Source Projects helps readers overcome the difficulty in their day-to-day tasks and seek insights from solutions in famous open source projects. Different from a technical manual, this book mixes the technical knowledge, real-world applications and more theoretical content, providing readers with a practical and engaging approach to learning Python.

Throughout this book, readers will learn how to write Python code that is efficient, readable and maintainable, covering key topics such as data structures, algorithms, object-oriented programming and more. The author's passion for Python shines through in this book, making it an enjoyable and inspiring read for both beginners and experienced programmers.

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Yes, you can access Learning Advanced Python by Studying Open Source Projects by Rongpeng Li in PDF and/or ePUB format, as well as other popular books in Computer Science & Open Source Programming. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Table of Contents
  8. Preface
  9. Acknowledgments
  10. Introduction
  11. Chapter 1 ◾ The Data Model of Python
  12. Chapter 2 ◾ Selected Topics of Python Classes
  13. Chapter 3 ◾ Concurrency in Python
  14. Chapter 4 ◾ Asynchronous Programming in Python
  15. Chapter 5 ◾ Power Up Your Python Functions
  16. Chapter 6 ◾ Selected OOP Design Best Practices
  17. Chapter 7 ◾ Testing in a Pistachio Shell
  18. Index