Encapsulation and dynamic type checking are two fundamental concepts in Python that contribute to writing more reliable and maintainable code.
In this article, we’ll explore how encapsulation improves dynamic type checking in Python, providing you with practical examples and insights into building robust Python applications.
Understanding Encapsulation and Dynamic Type Checking
Encapsulation involves bundling data and methods within a single unit, typically a class, to hide implementation details and expose only the necessary functionality through well-defined interfaces. Dynamic type checking, on the other hand, is a feature of Python that allows variables to hold values of any data type and performs type checking at runtime.
The Role of Encapsulation in Dynamic Type Checking
Encapsulation enhances dynamic type checking in Python in several ways:
1. Clear Interfaces
Encapsulation promotes the use of clear interfaces between different components of your code. By…
