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

Avoiding the reuse of names

In this example, let’s look at another best practice of how to use variable or class names such that the reusability aspect of your code is preserved. Sometimes it might seem easy to reuse the same class or variable names while writing code in a sequence. Reusing names will make it difficult to reuse the classes, variables, methods, or functions in your code as calling them in multiple scenarios will be impacted since the same names are reused for different elements.

Let’s look at an example to understand the method that is not preferred. Let’s define two classes for Branch with a method named maintenance_cost with different definitions.

The first Branch class is defined as follows:

class Branch:
    def maintenance_cost(self, product_type, quantity):
        self.product_type = product_type
        self.quantity = quantity...