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Metaprogramming with Python

You're reading from   Metaprogramming with Python A programmer's guide to writing reusable code to build smarter applications

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781838554651
Length 402 pages
Edition 1st Edition
Languages
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Author (1):
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Sulekha Aloorravi Sulekha Aloorravi
Author Profile Icon Sulekha Aloorravi
Sulekha Aloorravi
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming
2. Chapter 1: The Need for and Applications of Metaprogramming FREE CHAPTER 3. Chapter 2: Refresher of OOP Concepts in Python 4. Part 2: Deep Dive – Building Blocks of Metaprogramming I
5. Chapter 3: Understanding Decorators and their Applications 6. Chapter 4: Working with Metaclasses 7. Chapter 5: Understanding Introspection 8. Chapter 6: Implementing Reflection on Python Objects 9. Chapter 7: Understanding Generics and Typing 10. Chapter 8: Defining Templates for Algorithms 11. Part 3: Deep Dive – Building Blocks of Metaprogramming II
12. Chapter 9: Understanding Code through Abstract Syntax Tree 13. Chapter 10: Understanding Method Resolution Order of Inheritance 14. Chapter 11: Creating Dynamic Objects 15. Chapter 12: Applying GOF Design Patterns – Part 1 16. Chapter 13: Applying GOF Design Patterns – Part 2 17. Chapter 14: Generating Code from AST 18. Chapter 15: Implementing a Case Study 19. Chapter 16: Following Best Practices 20. Other Books You May Enjoy

Chapter 2: Refresher of OOP Concepts in Python

In the previous chapter, we looked at an overview of and discussed the need for metaprogramming and its practical applications, such as using the add function. But before we deep dive into the concepts of metaprogramming, it is important for you to have knowledge of the basic Object-Oriented Programming (OOP) concepts available in Python. This chapter gives an overview of the existing OOP concepts along with examples.

The main topics we will be covering in this chapter are as follows:

  • Introducing our core example
  • Creating classes
  • Understanding objects
  • Applying methods
  • Implementing inheritance
  • Extending to multiple inheritance
  • Understanding polymorphism
  • Hiding details with abstraction
  • Protecting information with encapsulation

By the end of this chapter, you will be able to understand the concepts of OOP in Python along with some practical examples.

Note

This chapter is completely...

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