Python 3 Deep Dive Part 4 Oop -

The Python 3: Deep Dive (Part 4 - OOP) course by Fred Baptiste is an advanced exploration of Object-Oriented Programming that moves beyond basic syntax to examine how Python’s object model operates under the hood. It is specifically designed for experienced developers who already possess a strong grasp of functional Python, including closures, decorators, and generators. Core Pillars of the Deep Dive

1.1 type and object

Two fundamental pillars rule Python’s object system: python 3 deep dive part 4 oop

Container Emulation

• __len__: Called by len(obj).
• __getitem__, __setitem__, __delitem__: Enable obj[key] syntax. Implementing __getitem__ often makes an object iterable automatically.
• __contains__: Called by in operator.

8. Composition over Inheritance

Python encourages composition to avoid deep inheritance trees. The Python 3: Deep Dive (Part 4 -

4.1 type – The Built-in Metaclass

# These two are equivalent:
Encapsulation: Bundling data and the methods that operate on that data into a single unit (class), often restricting direct access to some components. __len__ : Called by  len(obj)
: In-depth look at metaclasses and dynamic class modification. Course Structure & Materials
Further Reading
If you want to learn more about OOP in Python 3, here are some recommended resources: