
- 126 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
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.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Table of Contents
- Preface
- Acknowledgments
- Introduction
- Chapter 1 ◾ The Data Model of Python
- Chapter 2 ◾ Selected Topics of Python Classes
- Chapter 3 ◾ Concurrency in Python
- Chapter 4 ◾ Asynchronous Programming in Python
- Chapter 5 ◾ Power Up Your Python Functions
- Chapter 6 ◾ Selected OOP Design Best Practices
- Chapter 7 ◾ Testing in a Pistachio Shell
- Index