Python 3 Deep Dive Part 4 Oop Here

Python 3 Deep Dive Part 4: Object-Oriented Programming (OOP)

Welcome to the fourth installment of our Python 3 Deep Dive series, where we explore the depths of the Python programming language. In this article, we'll dive into the world of Object-Oriented Programming (OOP) in Python 3. OOP is a fundamental concept in programming that allows you to create reusable code, model real-world objects, and write more maintainable and efficient software.

Example of Inheritance

class ElectricCar(Car):
    def __init__(self, color, model, year, battery_capacity):
        super().__init__(color, model, year)
        self.battery_capacity = battery_capacity
def charge(self):
        print("Charging...")

In the above example, the ElectricCar class inherits from the Car class and adds an additional attribute battery_capacity and a method charge. python 3 deep dive part 4 oop

Class Decorators

Metaclasses are powerful but complex. Class decorators offer a simpler way to modify or inspect a class immediately after it is defined. Python 3 Deep Dive Part 4: Object-Oriented Programming

def add_logging(cls):
    # Wraps a method to add logging
    original_init = cls.__init__
def new_init(self, *args, **kwargs):
        print(f"Instance of cls.__name__ created")
        original_init(self, *args, **kwargs)
cls.__init__ = new_init
    return cls
@add_logging
class User:
    def __init__(self, name):
        self.name = name
u = User("Alice") # Output: Instance of User created

Chapter 8 — Design Patterns, Pragmatically

Lina used simple patterns sparingly: factory functions to create media from metadata, strategy objects for different loan policies, and observers to notify patrons for overdue items. She avoided overengineering. In the above example, the ElectricCar class inherits

What is Object-Oriented Programming (OOP)?

Object-Oriented Programming (OOP) is a programming paradigm that revolves around the concept of objects and classes. In OOP, a program is designed as a collection of objects that interact with each other to achieve a specific goal. Each object represents a real-world entity, such as a car, a person, or a bank account, and has its own set of attributes (data) and methods (functions).

3.2 Properties – managed attributes

class Temperature:
    def __init__(self, celsius):
        self._celsius = celsius
@property
def celsius(self):
    return self._celsius
@celsius.setter
def celsius(self, value):
    if value < -273.15:
        raise ValueError("Too cold")
    self._celsius = value