Python 3- Deep Dive -part 4 - Oop- Apr 2026

class Sparrow(FlyingBird): def move(self): return self.fly(100) def fly(self, altitude: int): return f"Flying at altitude"

class EmailSender(MessageSender): # Low-level def send(self, message: str) -> None: # SMTP logic here pass Python 3- Deep Dive -Part 4 - OOP-

class Fax(Protocol): def fax(self, doc: str) -> None: ... class SimplePrinter: def print(self, doc: str) -> None: print(f"Printing doc") Multi-function device can compose multiple protocols class MultiFunctionDevice(Printer, Scanner, Fax): def print(self, doc): ... def scan(self, doc): ... def fax(self, doc): ... 5. D: Dependency Inversion Principle (DIP) Depend on abstractions, not concretions. High-level modules should not depend on low-level modules. Deep Dive Issue: Python's dynamic imports and global singletons (e.g., requests.get , open ) often hard-code dependencies, making unit testing impossible. class Sparrow(FlyingBird): def move(self): return self

import smtplib # Concrete low-level class NotificationService: # High-level def alert(self, message): # Direct dependency on SMTP implementation server = smtplib.SMTP("smtp.gmail.com") server.sendmail(...) def fax(self, doc):