Learning Advanced Python by Studying Open Source Projects

This book 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, engaging approach to learning Python.

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.

Autorentext

Rongpeng Li (Ron) is a YouTube educator and animator. He has a consistent passion for education. He has published two books on statistics and scientific simulation.

Inhalt

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