Python 3 Deep Dive Part 4 Oop [updated] ❲HOT❳

The course by Fred Baptiste is widely considered one of the most comprehensive and advanced resources for mastering object-oriented programming in Python. Holding a 4.9/5 rating on Udemy , it is praised for its "under-the-hood" approach and meticulous attention to detail. Key Highlights

class CustomObject: def __new__(cls, *args, **kwargs): print("1. Allocating memory for the object") instance = super().__new__(cls) return instance def __init__(self, value): print("2. Initializing instance state") self.value = value Use code with caution. The Allocation Stage ( __new__ )

from abc import ABC, abstractmethod

to use classes, but how Python implements them under the hood. Core Curriculum Topics Classes and Instances

Python’s OOP is not just a collection of features—it is an built upon a small number of powerful mechanisms. The descriptor protocol unifies properties, methods, static methods, and class methods under a single abstraction. Metaclasses allow you to shape the class creation process itself. __slots__ provides performance optimization when you need it. ABCs enforce interfaces. Exceptions are classes organized in hierarchies. python 3 deep dive part 4 oop

As discussed in the Udemy deep dive, __slots__ is a powerful optimization technique. By defining __slots__ , you instruct Python not to use a dictionary, but rather a fixed-size space for attributes.

Diving Deep into Python 3 OOP: A Comprehensive Look at Part 4 Python 3: Deep Dive (Part 4 - OOP) The course by Fred Baptiste is widely considered

: Detailed instruction on instance, class, and static methods, including how binding works. Properties & Descriptors : Advanced use of the decorator, lazy/cached attributes, and the Descriptor Protocol Inheritance & Polymorphism