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Metaprogramming with Python

Metaprogramming with Python

By : Sulekha Aloorravi
4.2 (6)
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Metaprogramming with Python

Metaprogramming with Python

4.2 (6)
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)
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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

Naming conventions

Naming conventions in Python are recommendations of how various elements in a Python program need to be named to ensure ease of navigation and consistency. Navigating through code, connecting the dots, and understanding the flow are all made easier by following consistent naming conventions throughout the code. This is another important standard that helps in developing maintainable applications.

In this section, we will see how you should ideally name classes, variables, functions, and methods.

Class names

While creating a new class, it is recommended to start the class name with an uppercase letter followed by lowercase letters and capitalize whenever there are words that need differentiation within the class name.

For example, let’s define a class for the billing counter.

The following style is not the preferred naming convention:

class billing_counter:
    def __init__(self, productname, unitprice, quantity...
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Metaprogramming with Python
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