Python 3 Deep Dive Part 4 Oop [work]
Contrast with ABC: no explicit inheritance, just "looks like a duck".
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class A(PluginBase): pass class B(PluginBase): pass
class A: def process(self): print("A") class B(A): def process(self): print("B") class C(A): def process(self): print("C") class D(B, C): pass obj = D() obj.process() # Output: B Use code with caution. Inspecting the MRO
def render(obj: Drawable) -> None: obj.draw() python 3 deep dive part 4 oop
Descriptors modify this default behavior. A descriptor is any object that implements at least one of the following methods in the descriptor protocol: __get__ , __set__ , or __delete__ . Data vs Non-Data Descriptors
If you check the type via the class namespace, it registers as a function: print(type(Speaker.say_hello)) # Output: Use code with caution.
Always use cooperative multiple inheritance by ensuring all cooperative methods call super() . 5. Metaclasses: The Classes of Classes
The Ultimate Guide to Python 3 Deep Dive: Object-Oriented Programming (OOP) Contrast with ABC: no explicit inheritance, just "looks
Python supports multiple inheritance. The MRO determines the order in which base classes are searched when executing a method.
class C(A): def process(self): print("C process") # End of the chain for this specific logic
The course by Fred Baptiste is an advanced exploration of Object-Oriented Programming that moves beyond basic syntax to examine how Python’s object model operates under the hood. It is specifically designed for experienced developers who already possess a strong grasp of functional Python, including closures, decorators, and generators. Core Pillars of the Deep Dive
class Account: bank_name = "First National" # Class attribute def __init__(self, owner, balance): self.owner = owner # Instance attribute self.balance = balance # Instance attribute Use code with caution. Namespace Resolution class A(PluginBase): pass class B(PluginBase): pass class A:
algorithm to determine the Method Resolution Order. This knowledge is vital for using
It looks up the next class in the of the calling object.
d = D() d.process() # Output: # D process # B process # C process # Note: A.process() is NOT called here because C did not call super(). # If C called super(), A would run.