Python 3 Deep Dive Part 4 Oop

Python 3 Deep Dive – Part 4: Object-Oriented Programming Mastery

Welcome back to the Python 3 Deep Dive series. In previous parts, we explored iterators, generators, decorators, and context managers. Now, we turn our attention to the very backbone of large-scale Python applications: Object-Oriented Programming (OOP).

def __call__(self, value): return value * self.factor def __init__(self, x, y): self.x = x self.y = y

2.2 Custom Descriptor for Validation

class PositiveNumber:
    def __set_name__(self, owner, name):
        self.name = name
def __get__(self, instance, owner):
    return instance.__dict__.get(self.name)
10. Best Practices & Anti-Patterns
✅ Do:

Favor composition over deep inheritance.
Use @property for computed attributes.
Implement protocols for custom containers.
Use super() consistently in multiple inheritance.
Use ABCs for clear interfaces.
Use __slots__ for many small objects.

print(D.mro)
s = Simple()
s.x = 10
print(s.__dict__) 
# Output: 'x': 10