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Python for Geeks

You're reading from   Python for Geeks Build production-ready applications using advanced Python concepts and industry best practices

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Python, beyond the Basics
2. Chapter 1: Optimal Python Development Life Cycle FREE CHAPTER 3. Chapter 2: Using Modularization to Handle Complex Projects 4. Chapter 3: Advanced Object-Oriented Python Programming 5. Section 2: Advanced Programming Concepts
6. Chapter 4: Python Libraries for Advanced Programming 7. Chapter 5: Testing and Automation with Python 8. Chapter 6: Advanced Tips and Tricks in Python 9. Section 3: Scaling beyond a Single Thread
10. Chapter 7: Multiprocessing, Multithreading, and Asynchronous Programming 11. Chapter 8: Scaling out Python Using Clusters 12. Chapter 9: Python Programming for the Cloud 13. Section 4: Using Python for Web, Cloud, and Network Use Cases
14. Chapter 10: Using Python for Web Development and REST API 15. Chapter 11: Using Python for Microservices Development 16. Chapter 12: Building Serverless Functions using Python 17. Chapter 13: Python and Machine Learning 18. Chapter 14: Using Python for Network Automation 19. Other Books You May Enjoy

Summary

In this chapter, we learned the concept of classes and objects in Python and we also discussed how to build classes and use them to create objects and instances. Later, we deep-dived into the four pillars of OOP: encapsulation, inheritance, polymorphism, and abstraction. We also worked through simple and clear code examples to make it easier for readers to grasp the concepts of OOP. These four pillars are fundamental to using OOP in Python.

In the later sections, we also covered duck typing, which is important for clarifying its non-dependency on classes, before ending the chapter by reviewing when it is not significantly beneficial to use OOP.

By going through this chapter, you not only refreshed your knowledge of the main concepts of OOP but also learned how to apply the concepts using Python syntax. We will review a few Python libraries for advanced programming in the next chapter.

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