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

Adding data types with constraints

In this section, we will look at an example of adding constraints to data types and checking constraints along with type checking. There might be scenarios where we would like to create an integer variable and restrict its length to two digits or to create a string and restrict its length to 10 characters and more. With this example, let’s explore how to add such constraints or restricts during the static type checking.

In this example, let’s create a typecheck class with only two methods to check an integer and a string. While checking these data types, let’s also add a few more constraints within the method definition:

class typecheck:
  • In the following method, let’s check that the input variable is not an integer or its length is greater than two, and return False when the condition is true, and return True when the condition is false:
        def intcheck(self,inputvalue):
      &...