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

Understanding objects

An object can be defined as the instance of the class. If we consider a class itself as a data type, then an object can be defined as the variable of a class of type ClassName.

A class without an object is practically unusable. All the attributes and methods created for the class can be effectively utilized once we create an object instance, as follows:

obj_name = ClassName()  

Considering the earlier example of a Branch class, we can create and utilize its objects as follows:

branch_albany = Branch()  

Now, branch_albany is an instance of theBranch class and all its attributes can be modified for this instance without impacting the attributes within the class definition of Branch. An instance is more like a copy of the class that can be utilized without affecting the class itself. Let’s take the following code as an example:

branch_albany.branch_id = 123  
branch_albany.branch_street...