8. Old-Style vs. New-Style Classes in Python: Understanding the Differences
   OOP (Object-Oriented Programming) Recap:OOP is a programming paradigm where you organize your code using classes and objects
9. Why Python Classes Inherit from object: Demystifying Object-Oriented Programming
   Object-Oriented Programming (OOP) in Python:OOP is a programming paradigm that revolves around creating objects that encapsulate data (attributes) and the operations (methods) that can be performed on that data
10. Why self is Essential in Object-Oriented Programming (Python)
    I'd be glad to explain the self parameter in Python classes within the context of object-oriented programming (OOP):In Python
11. Safeguarding Your Python Code: Mastering Attribute Checks with Confidence
    Classes and Objects in PythonIn Python, a class is a blueprint that defines the properties (attributes) and behaviors (methods) of objects
12. Demystifying Python's super() with init() Methods for Object-Oriented Programming
    Now, when you inherit from a superclass in Python, you may want to call the superclass's __init__() method from the subclass's __init__() method
13. Unpacking Class Internals: A Guide to Static Variables and Methods in Python
    Classes and Objects in PythonClass: A blueprint for creating objects. It defines the properties (attributes) and behaviors (methods) that objects of that class will share
14. Understanding PyTorch Modules: A Deep Dive into Class, Inheritance, and Network Architecture
    Modules in PyTorchIn PyTorch, a Module serves as the fundamental building block for constructing neural networks. It's a class (a blueprint for creating objects) that provides the foundation for defining the architecture and behavior of your network
15. Keeping Your Code Clean: Strategies for Organizing Python Classes Across Files
    Multiple Classes in a Single File:This is the simplest approach. You can define multiple classes within a single Python file (.py). It works well for small projects or when classes are tightly coupled and work together for a specific purpose