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Metaprogramming with Python

Metaprogramming with Python

By : Sulekha Aloorravi
4.2 (6)
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Metaprogramming with Python

Metaprogramming with Python

4.2 (6)
By: Sulekha Aloorravi

Overview of this book

Effective and reusable code makes your application development process seamless and easily maintainable. With Python, you will have access to advanced metaprogramming features that you can use to build high-performing applications. The book starts by introducing you to the need and applications of metaprogramming, before navigating the fundamentals of object-oriented programming. Next, you will learn about simple decorators, work with metaclasses, and later focus on introspection and reflection. You’ll also delve into generics and typing before defining templates for algorithms. As you progress, you will understand your code using abstract syntax trees and explore method resolution order. This Python book also shows you how to create your own dynamic objects before structuring the objects through design patterns. Finally, you will learn simple code-generation techniques along with discovering best practices and eventually building your own applications. By the end of this learning journey, you’ll have acquired the skills and confidence you need to design and build reusable high-performing applications that can solve real-world problems.
Table of Contents (21 chapters)
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1
Part 1: Fundamentals – Introduction to Object-Oriented Python and Metaprogramming
4
Part 2: Deep Dive – Building Blocks of Metaprogramming I
11
Part 3: Deep Dive – Building Blocks of Metaprogramming II

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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Metaprogramming with Python
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