ws = WithSlots(1, 2)
Beyond single inheritance, Python supports multiple inheritance, which can lead to complex method resolution issues. The key to navigating this is the . Python uses the C3 linearization algorithm to determine the order in which base classes are searched when a method is called.
class DeepDiveDemo: # Evaluated immediately during class definition platform_name = "Deep Dive Masterclass" print("Executing code inside the class body definition!") def __init__(self, version): self.version = version Use code with caution. python 3 deep dive part 4 oop
my_car = Car("Toyota", "Corolla", 2015)
The @property decorator creates a data descriptor that turns a method into an attribute with custom getter, setter, and deleter logic. This is Python’s idiomatic way to implement encapsulation without breaking backward compatibility. ws = WithSlots(1, 2) Beyond single inheritance, Python
A Class is like a blueprint. It doesn’t exist physically; it’s just a set of instructions. When you use that blueprint to actually build a house, you create an (or an Object).
Python supports multiple inheritance. The complexity arises when multiple parents define the same method. Python solves this using the algorithm. A Class is like a blueprint
A specific, concrete instance of a class.
class A: def action(self): print("A") class B(A): def action(self): print("B"); super().action() class C(A): def action(self): print("C"); super().action() class D(B, C): def action(self): print("D"); super().action() Use code with caution. Calling D().action() produces the output: D -> B -> C -> A . Rules of super() super() does not simply point to the parent class.