Author name: TechAlmirah

Object Oriented Programming in Python is one of the most powerful paradigms for structuring your code. As your Python projects become larger and more complex, mastering OOP will allow you to manage your code more effectively, improve code reuse, and make your programs easier to maintain and extend. This guide introduces the core concepts of […]

Object-oriented programming (OOP) in Python revolves around the concept of classes, which serve as blueprints for creating objects. These objects encapsulate data (attributes) and behaviors (methods) related to the real-world entities they represent. In this tutorial, we’ll demystify the process of defining classes in Python, creating objects from these blueprints, and accessing their properties. What

Instance methods and attributes are the heart of object-oriented programming (OOP) in Python. They give your objects unique behaviors and data, allowing you to model real-world entities in your code. In this comprehensive guide, we’ll dive deep into defining and using instance methods and attributes, along with best practices for managing access and visibility within

Checking instance types in Python is a crucial skill in object-oriented programming (OOP). It allows you to determine the class of an object, ensuring that you’re working with the correct type of data and applying appropriate operations. In this guide, we’ll explore two primary methods for checking instance types: the type() function and the isinstance()

Class Methods & Members in Python are integral components of object-oriented programming (OOP), enabling developers to define behavior and data associated with the class itself, rather than with individual instances (objects) of the class. Understanding how class attributes (members) and methods work can significantly improve the structure, efficiency, and readability of your Python code. In