Description
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.
Table of Contents
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
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