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

Impact of unintended change of order in inheritance

In this section, we will be looking at examples that demonstrate how important the order of inheritance is to resolve the methods in the case of multilevel inheritance, and what happens when the order changes in one of the parent or superclasses unintentionally.

This is how it works:

  1. Let’s start by creating a class named CommonCounter that initializes with two attributes, items and name. Let’s also add two methods to this class, return_cart (which returns the items in the cart) and goto_counter (which returns the name of the counter). This is how the code looks:
    class CommonCounter():
        def __init__(self,items,name):
            self.items = items
            self.name = name
        def return_cart(self):
            cartItems = []
         ...