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

Designing templates

As the name suggests, templates define a common template or format in which we can design an algorithmic flow of operations and reuse them when similar kinds of activities are performed. A template is one of the methods of design patterns in Python and can be used effectively while developing frameworks or libraries. Templates emphasize the concept of reusability in programming.

In this section, we will look at creating a class that handles all the common functions of all four counters discussed throughout this chapter, and create a method that handles the template that sequences or pipelines the steps to be executed in all the counters:

  1. To begin with, let’s create an abstract class named CommonCounter, and initialize the class with all the variables that will be used across all four counters. Refer to the following code:
    from abc import ABC, abstractmethod 
    class CommonCounter(ABC):
        def __init__(self,items,name,scan,units...