Python 3 Deep Dive Part 4 Oop

def __init__(self, connection_string): # Only initializes once; subsequent calls still hit __init__ if not hasattr(self, 'initialized'): self.connection_string = connection_string self.initialized = True

: Detailed coverage of "dunder" methods (e.g., __str__ , __repr__ , __del__ ) and how they enable custom behavior for arithmetic operators and rich comparisons.

Python supports multiple inheritance, where a class can inherit from more than one parent. This raises the "diamond problem," where a class inherits from two classes that both inherit from a common base. python 3 deep dive part 4 oop

class DatabaseError(Exception): """Base class for database-related errors.""" pass

Inheritance is a core pillar of OOP, but Python’s handling of it goes beyond single-level hierarchies. Single Inheritance and Slots This paper moves beyond basic class definitions to

A more realistic example: a metaclass that automatically registers all subclasses in a registry:

: This module explores the relationship between descriptors and properties, explaining how Python handles attribute lookup resolution behind the scenes. attribute resolution order

While Python supports multiple paradigms, Object-Oriented Programming (OOP) is central to its design. This paper moves beyond basic class definitions to explore Python’s unique OOP implementation: first-class objects, attribute resolution order, descriptors, metaclasses, and abstract base classes. We'll examine how Python's dynamic nature influences OOP patterns, and how to write robust, extensible, and Pythonic class hierarchies.