As a Python programmer, you’ve likely encountered the concepts of abstraction and composition at some point in your journey. These fundamental programming principles are the building blocks of modular, scalable, and maintainable code.
In this article, we’ll dive deep into understanding how to leverage these techniques to write more efficient and organized Python applications.
Abstraction is the process of hiding the implementation details of a function or object, and exposing only the essential features to the user.
This allows you to create reusable, high-level components that can be easily integrated into your codebase. Composition, on the other hand, is the act of combining these abstracted components to create more complex functionality.
Let’s start by exploring abstraction in Python. One of the most common examples of abstraction is the use of classes. Classes allow you to encapsulate data and behavior into a single unit, hiding the implementation details from the user. Here’s a simple example:
class BankAccount:
def __init__(self, owner, balance):
self._owner = owner
self._balance = balance
def deposit(self, amount)…