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class Penguin(Bird): def move(self): return "Swimming" # No fly method. Substitutable for Bird. Clients should not be forced to depend on methods they do not use. Deep Dive Issue: Python has no explicit interface keyword. We use Protocol (PEP 544) or multiple ABCs . Fat protocols lead to NotImplementedError stubs.
class MultiFunctionDevice(ABC): @abstractmethod def print(self, doc): pass @abstractmethod def scan(self, doc): pass @abstractmethod def fax(self, doc): pass class SimplePrinter(MultiFunctionDevice): def print(self, doc): ... def scan(self, doc): raise NotImplementedError # Forced dependency def fax(self, doc): raise NotImplementedError
from dataclasses import dataclass @dataclass class Employee: name: str salary: float Responsibility 2: Business logic class PayCalculator: def calculate(self, emp: Employee) -> float: return emp.salary * 0.8 Responsibility 3: Persistence class EmployeeRepository: def save(self, emp: Employee) -> None: # Uses SQLAlchemy, filesystem, etc. pass 2. O: Open/Closed Principle (OCP) Classes should be open for extension, but closed for modification. Deep Dive Issue: Python is not statically typed. Without ABC or Protocol , developers often write long if/elif chains checking type() .
class NotificationService: # High-level def (self, sender: MessageSender): # Injected dependency self._sender = sender
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 StandardDiscount(DiscountStrategy): def apply(self, amount: float) -> float: return amount * 0.9
class Bird: def fly(self, altitude: int) -> None: return f"Flying at altitude" class Penguin(Bird): def fly(self, altitude: int) -> None: # Violation: Changes pre-condition (cannot fly) raise NotImplementedError("Penguins can't fly")
class SmsSender(MessageSender): # Another low-level def send(self, message: str) -> None: # Twilio logic here pass
class Penguin(Bird): def move(self): return "Swimming" # No fly method. Substitutable for Bird. Clients should not be forced to depend on methods they do not use. Deep Dive Issue: Python has no explicit interface keyword. We use Protocol (PEP 544) or multiple ABCs . Fat protocols lead to NotImplementedError stubs.
class MultiFunctionDevice(ABC): @abstractmethod def print(self, doc): pass @abstractmethod def scan(self, doc): pass @abstractmethod def fax(self, doc): pass class SimplePrinter(MultiFunctionDevice): def print(self, doc): ... def scan(self, doc): raise NotImplementedError # Forced dependency def fax(self, doc): raise NotImplementedError
from dataclasses import dataclass @dataclass class Employee: name: str salary: float Responsibility 2: Business logic class PayCalculator: def calculate(self, emp: Employee) -> float: return emp.salary * 0.8 Responsibility 3: Persistence class EmployeeRepository: def save(self, emp: Employee) -> None: # Uses SQLAlchemy, filesystem, etc. pass 2. O: Open/Closed Principle (OCP) Classes should be open for extension, but closed for modification. Deep Dive Issue: Python is not statically typed. Without ABC or Protocol , developers often write long if/elif chains checking type() . Python 3- Deep Dive -Part 4 - OOP-
class NotificationService: # High-level def (self, sender: MessageSender): # Injected dependency self._sender = sender
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 Penguin(Bird): def move(self): return "Swimming" # No
class StandardDiscount(DiscountStrategy): def apply(self, amount: float) -> float: return amount * 0.9
class Bird: def fly(self, altitude: int) -> None: return f"Flying at altitude" class Penguin(Bird): def fly(self, altitude: int) -> None: # Violation: Changes pre-condition (cannot fly) raise NotImplementedError("Penguins can't fly") Deep Dive Issue: Python has no explicit interface keyword
class SmsSender(MessageSender): # Another low-level def send(self, message: str) -> None: # Twilio logic here pass