Python is renowned for its simplicity, readability, and ease of use. However, as projects grow in complexity, maintaining code quality and ensuring long-term maintainability can become challenging. Fortunately, Python offers powerful features like encapsulation and static type checking that can help developers write more robust and maintainable code.
In this article, we’ll explore these concepts and provide practical examples to help you level up your Python skills.
Encapsulation: Hiding Implementation Details
Encapsulation is a fundamental principle of object-oriented programming (OOP) that involves bundling data and methods together within a class, and controlling access to the class members.
By encapsulating data and methods, you can hide the implementation details from the outside world, making your code more modular, easier to maintain, and less prone to unintended modifications. In Python, you can achieve encapsulation by using naming conventions and access modifiers. Here’s an example:
class BankAccount:
def __init__(self, initial_balance):
self._balance =…
