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

Following PEP 8 standards

In this section, we will be looking at the PEP 8 standards that we should follow while coding applications with Python metaprogramming. We will apply these standards from the PEP 8 documentation using our example of ABC Megamart.

In this section, rather than looking at whether the coding standards we follow are right, we will consider the difference between coding standards that are easy to maintain in comparison to those that are not.

Indentation

Python is a language that is very sensitive to indentation and can throw many errors when this is not done correctly. Having discipline with the overall indentation of your code helps to avoid errors and also makes the code more readable. In this example, let’s look at how we can keep the indentation correct.

To start looking at the indentation, let’s begin with an example of a greater-than-10-items counter. We first define a class named GreaterThan10Counter with a return_cart method to...