Book Image

Metaprogramming with Python

By : Sulekha AloorRavi
Book Image

Metaprogramming with Python

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)
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

Protecting information with encapsulation

Encapsulation is the feature of the OOP paradigm that keeps has information protected. A class encapsulates its attributes and methods from being accessed by anyone outside the class. To ensure more protection to the variables and methods inside a class, they can further be declared as private or protected members. Private methods or variables can only be accessed within the class, whereas protected methods or variables can be accessed by subclasses or child classes that inherit the parent class or the base class. Private variables or methods are prefixed by the special character __ (double underscore) and protected members or variables are prefixed by _ (single underscore). We will look at some examples of private and protected class members.

Private members

In Python, the concept of a private variable does not exist as in other OOP languages. However, we can add two underscore symbols before the name of a variable or method to signify...