Deep Dive Python

Techniques and Best Practices for Developers

Adarsh Divakaran

• Publisher: Apress
• Year: 2025
• Print ISBN: 9798868812606
• eBook ISBN: 9798868812613
• Topic: Computer Science
• Subtopic: Programming in Python
• Index: Computer Science

Take your programming skills to the next level by expanding real-world Python applications in open-source code. This book is an essential guide for experienced developers looking to enhance their Python proficiency.  

Using code examples from popular open-source projects you’ll master Python concepts and see how they are applied in production-level code. By understanding code from established projects, you’ll develop a deeper appreciation for Python’s capabilities and learn best practices that have been battle-tested in the real world. You’ll gain the confidence to tackle complex projects, optimize your code, and implement advanced Python features effectively. 

You’ll also examine typing, generators, iterators, the itertools module, multithreading, multiprocessing, and asyncio. This will equip you to build production-ready Python programs and libraries. Whether you’re building large-scale applications, contributing to open-source projects, or solving intricate programming challenges, Deep Dive Python will provide you with the knowledge and practical experience to excel in your Python development journey. 

What You Will Learn

• Master Python's core data structures and how to use them effectively.
• Implement decorators, descriptors, metaclasses, and abstract base classes in your code
• Enhance your code with functional programming techniques using the functools module
• Improve iteration with generators, iterators, and the itertools module
• Select the best Python concurrent programming models to use for optimal performance
• Apply best practices for code organization, packaging, and creating maintainable Python projects 

Who This Book Is For 

Experienced Python developers who want to expand their programming skils

Table of contents

• Deep Dive Python
• Introduction
• Acknowledgments
• Table of Contents
• About the Author
• About the Technical Reviewer
• 1. Lists
• 2. Tuples
• 3. Set and Dictionary
• 4. Logging
• 5. Exceptions
• 6. Functions and Functools
• 7. Classes and Object-Oriented Programming
• 8. Dunder Methods
• 9. Decorators
• 10. Metaclasses
• 11. Typing
• 12. Generators and Iterators
• 13. Itertools
• 14. Multithreading
• 15. Multiprocessing
• 16. Asyncio
• 17. Data Serialization and Persistence
• 18. Context Managers and Contextlib
• 19. Abstract Base Classes
• 20. Packaging
• 21. Dependency Management
• Index