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

Summary

In this chapter, we have learned how to introspect Python objects using built-in functions.

We then saw how to use the id function, and how to debug code using id. We also looked at how to check whether an object is callable, how to check whether an object has an attribute, how to check whether an object is an instance, how to check whether an object is a subclass, and finally, we looked at how to get, set, and delete properties on attributes. From all of these concepts, we learned how to inspect Python objects such as classes, methods, and functions. From the examples covered under each topic, we also learned how to apply introspection in practical use cases.

In the next chapter, we will be extending the learning from introspection and applying it further to understand reflection on Python objects.