Python 3 Deep Dive Part 4 Oop High Quality !full! Today

Python 3: Deep Dive (Part 4 - OOP) course by Fred Baptiste is widely considered one of the highest-quality, most comprehensive resources for advanced Python developers on . It holds a near-perfect rating of

• _single_leading_underscore : “protected” — by convention, internal use only.
• __double_leading_underscore : triggers name mangling (_ClassName__attribute).

Memory Optimization with __slots__: For applications handling millions of small objects (like coordinates), using __slots__ tells Python to use a fixed array instead of a dynamic dictionary. This significantly reduces memory overhead and provides faster attribute access. 3. Deep Dive into the Descriptor Protocol python 3 deep dive part 4 oop high quality

Subclassing int to create a strict positive integer

class PositiveInt(int): def new(cls, value): if value <= 0: raise ValueError("PositiveInt must be > 0") return super().new(cls, value) Python 3: Deep Dive (Part 4 - OOP)

from abc import ABC, abstractmethod
class PluginMeta(type):
    plugins = []
def __new__(cls, name, bases, dct):
    new_class = super().__new__(cls, name, bases, dct)
    if hasattr(new_class, 'run'):
        cls.plugins.append(new_class)
    return new_class

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If you are looking for different formats or supplementary material: Python 3: Deep Dive (Part 4 - OOP) - Udemy from abc import ABC