Hiding complex implementation details and showing only the necessary features of an object. 2. Classes and Instances: The Anatomy of Objects
# Dynamically modifying a class namespace at runtime DeepDiveDemo.author = "Fred Baptiste" Use code with caution. 2. The Initialization Process: __new__ vs __init__
class BankAccount: def __init__(self, account_number, balance): self.__account_number = account_number self.__balance = balance python 3 deep dive part 4 oop
Object-Oriented Programming in Python 3 isn't just about making code "organized." It's about creating . By mastering classes, inheritance, and the magic of dunder methods, you move from being a mere scripter to a Master Architect of Pythoria.
Because __new__ controls the creation of the object, you can intercept this process to implement architectural patterns like the Singleton pattern, ensuring a class only ever has one instance. Hiding complex implementation details and showing only the
Python supports multiple inheritance, allowing a class to inherit from more than one parent class. This introduces a structural vulnerability known as the , where a child class inherits from two parent classes that both share a common ancestor. The C3 Linearization Algorithm
class DVD(Media): def __init__(self, title, duration_minutes): super().__init__(title) self.duration = timedelta(minutes=duration_minutes) Because __new__ controls the creation of the object,
For developers, this "Deep Dive" transforms OOP from a set of rigid rules into a flexible toolset. By understanding and the internal dictionary ( __dict__ ) system, programmers can write more efficient, maintainable, and sophisticated frameworks that leverage Python's dynamic nature rather than fighting it. Frank David - Albertsons Companies India | LinkedIn
Use the @staticmethod decorator, acting like regular functions nested within a class, taking no implicit arguments. 4. Properties and Encapsulation
When you access an attribute like obj.x , Python follows a specific lookup chain: