Python 3 Deep Dive Part 4 Oop High Quality -

p = Person("Alice") print(p.__dict__) # Output: 'name': 'Alice'

ABCs define interfaces. They are not for performance; they are for .

Use metaclasses sparingly. They are powerful but add complexity. Common use cases include abstract base classes (ABCs) and ORM registration.

Inheritance allows classes to share behavior, while composition allows objects to contain other objects. python 3 deep dive part 4 oop high quality

Python is often described as a "multi-paradigm" language, but its implementation is deeply rooted in object-oriented principles. Everything in Python is an object—from simple integers to complex classes themselves.

Python relies heavily on "protocols" rather than explicit interface declarations. Protocols are implemented using special dunder (double underscore) methods. Implementing these makes your custom classes behave like native Python types. The String Representation Protocol

Now Order.quantity = -5 raises an error automatically. p = Person("Alice") print(p

But knowledge without discipline is just trivia. comes from:

class LoggedMixin: def __init__(self, **kwargs): print(f"Init self.__class__.__name__") super().__init__(**kwargs)

This is not a beginner-level program; it requires a strong working knowledge of functional Python programming, including closures, decorators, and generators. They are powerful but add complexity

__repr__ (for developers), __str__ (for users). Comparison: __eq__ , __lt__ , __gt__ , etc.

class UserRepository: def save(self, user): ...

Each instance of DataPoint allocates a heap dictionary, consuming roughly 100 to 150 bytes of metadata overhead beyond the actual data. The Solution: Optimized Memory Allocation