Ebook: Learning Advanced Python by Studying Open Source Projects

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.

Learning Advanced Python by Studying Open Source Projects is a book that is written for 95% of Python users, covering 95% of their daily use cases. What does this mean? From the content perspective, it means that this book is not an encyclopedia that covers everything. It covers all the important things for most Python users. Based on my observations and research, the following topics are considered important:

1. The Python data model
2. The Python classes
3. Concurrency and asynchronous programming
4. Functions and related tips
5. How to design an OOP system
6. How to test code