Python 3 Deep Dive Part 4 Oop

Inheritance is a mechanism in OOP that allows one class to inherit the attributes and methods of another class. The class that inherits the attributes and methods is called the or derived class , while the class that provides the attributes and methods is called the superclass or base class .

Python 3 Deep Dive Part 4: Mastering Object-Oriented Programming (OOP)

Substantially reduces memory usage by eliminating __dict__ .

Pythonic encapsulation is achieved via @property . It allows you to add logic to attribute access without changing the API (i.e., users still type obj.x , but code runs obj.x() ). python 3 deep dive part 4 oop

class Optimized: __slots__ = ['x', 'y']

@abstractmethod def perimeter(self): pass

A creates classes. Just as a class creates instances, type (the default metaclass) creates class objects. Inheritance is a mechanism in OOP that allows

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def __init__(self, quantity, price): self.quantity = quantity self.price = price

This content is inspired by the advanced topics discussed in the Udemy Python 3: Deep Dive (Part 4 - OOP) course. Share public link Pythonic encapsulation is achieved via @property

: An in-depth look at class data and function attributes, emphasizing that classes themselves are callables and objects in Python.

If you are creating millions of small instances, you can optimize memory usage by defining __slots__ . This tells Python not to use a dictionary, but instead allocate a fixed amount of space for a static set of attributes.

Python’s abc module provides the ABCMeta metaclass and the ABC helper class.

class Engine: def start(self): pass

def __set_name__(self, owner, name): self.storage_name = f"_name" # avoid naming collision