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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

Applying multiple decorators to one function

So far, we have understood that decorators can be created and added to functions to perform metaprogramming on the functions. We also understand that decorators can be reused and exchanged for different functions. We have also understood that decorators add decoration or value to a function from outside of the function body and help in altering the function with additional information. What if we want the function to perform two different actions through decorators and at the same time do not want the decorators to become more specific? Can we create two or more different decorators and apply them to a single function? Yes, we can. We will now look at decorating a function with more than one decorator and understand how it works.

For this example, let us reuse the decorators dateconverter and identifier. To understand this concept, we can reuse one of the previously declared functions, set_promotion_malibu, which has both a datetime object...

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Metaprogramming with Python
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