class PaymentGateway(ABC): @abstractmethod def process_payment(self, amount): pass
But knowledge without discipline is just trivia. comes from:
Every object in Python has a type, and that type is defined by a class. You can inspect an object's class using the __class__ attribute or the built-in type() function.
Advanced OOP code balances abstraction with execution speed. Benchmarking Implementations
import timeit standard_setup = """ class Standard: def __init__(self, v): self.v = v """ slotted_setup = """ class Slotted: __slots__ = ('v',) def __init__(self, v): self.v = v """ print(timeit.timeit("Standard(10)", setup=standard_setup, number=1000000)) print(timeit.timeit("Slotted(10)", setup=slotted_setup, number=1000000)) Use code with caution. Key Performance Guidelines python 3 deep dive part 4 oop high quality
For a deeper look into the course's approach and related advanced Python OOP concepts, explore these informative sessions: Intermediate Deep Dive Information Session Real Python
Use the timeit module to measure performance differences between regular classes and optimized structures.
🧠 This is Part 4 of a series. If you haven’t read Parts 1–3 on variables, functions, and iteration, the core ideas here will still stand alone.
Metaprogramming allows code to manipulate code. In Python, classes are objects generated by a higher-level construct called a metaclass. By default, Python uses the type metaclass to build classes. Custom Metaclasses Advanced OOP code balances abstraction with execution speed
Using @property decorators, read-only, and computed properties.
def __add__(self, other): return Vector(self.x + other.x, self.y + other.y)
my_electric_car = ElectricCar("Blue", "Tesla", "Model S", 100) print(my_electric_car.color) # Output: Blue my_electric_car.start_engine() # Output: The engine is started. my_electric_car.charge_battery() # Output: The battery is charging.
class Model: def (cls, **kwargs): super(). init_subclass (**kwargs) if not hasattr(cls, ' slots '): cls. slots = tuple() 🧠 This is Part 4 of a series
Python supports multiple inheritance. Unlike C++, Python resolves method conflicts with the . Access it via ClassName.__mro__ .
def greet(self): print("Hello")
strictly as an optimization tool when dealing with memory-constrained environments or high-volume data objects.