8 Apr 2023

Object-oriented programming in Python: A beginner's guide

Object-oriented programming (OOP) is a programming paradigm that has been around since the 1960s, and it's still popular today because it makes it easier to write complex software. Python is a popular programming language that is easy to learn, and it supports OOP. This article is a beginner's guide to object-oriented programming in Python.

What is Object-Oriented Programming?

Object-oriented programming is a programming paradigm that uses objects to represent data and behaviors. Objects are instances of classes, and classes are templates that define the properties and methods of objects. In OOP, the emphasis is on data, and the code is written to manipulate that data. This approach makes it easier to write complex software because it helps you organize your code and make it more modular.

Classes and Objects

In Python, you define classes using the "class" keyword. Here's an example:

class Car:
    def __init__(self, make, model, year):
        self.make = make
        self.model = model
        self.year = year

    def start(self):
        print(f"The {self.make} {self.model} starts.")

This code defines a class called "Car" that has three properties: "make", "model", and "year". The "init" method is a special method that initializes the object's properties. The "start" method is a method that defines the behavior of the object.

You create an instance of a class by calling the class as if it were a function:

my_car = Car("Toyota", "Corolla", 2022)

This code creates an instance of the "Car" class called "my_car" and sets its properties to "Toyota", "Corolla", and 2022.

You can access the properties of an object using the dot notation:

print(my_car.make)  # Output: Toyota
print(my_car.model)  # Output: Corolla
print(my_car.year)  # Output: 2022

You can also call the methods of an object using the dot notation:

my_car.start()  # Output: The Toyota Corolla starts.

Inheritance

Inheritance is a mechanism that allows you to create a new class that is a modified version of an existing class. The new class is called the "subclass", and the existing class is called the "superclass". The subclass inherits all the properties and methods of the superclass and can add its own properties and methods. Here's an example:

class ElectricCar(Car):
    def __init__(self, make, model, year, battery_size):
        super().__init__(make, model, year)
        self.battery_size = battery_size

    def charge(self):
        print(f"The {self.make} {self.model} is charging.")

This code defines a subclass called "ElectricCar" that inherits from the "Car" class. The subclass has an additional property called "battery_size" and a new method called "charge".

You can create an instance of a subclass just like you would create an instance of a superclass:

my_electric_car = ElectricCar("Tesla", "Model S", 2023, 100)

This code creates an instance of the "ElectricCar" class called "my_electric_car" and sets its properties to "Tesla", "Model S", 2023, and 100.

You can call the methods of both the superclass and the subclass using the dot notation:

my_electric_car.start()  # Output: The Tesla Model S starts.
my_electric_car.charge()  # Output: The Tesla Model S is charging.

Polymorphism

Polymorphism is the ability of an object to take on multiple forms. In OOP, polymorphism is achieved through method overriding and method overloading.

Method overriding is when a subclass provides its own implementation of a method that is already defined in its superclass. Here's an example:

class ElectricCar(Car):
    def __init__(self, make, model, year, battery_size):
        super().__init__(make, model, year)
        self.battery_size = battery_size

    def start(self):
        print(f"The {self.make} {self.model} starts silently.")

This code overrides the "start" method of the "Car" class in the "ElectricCar" subclass. Now, when you call the "start" method on an instance of the "ElectricCar" class, it will print a different message than the "start" method of the "Car" class.

Method overloading is when a class provides multiple methods with the same name but different parameters. Python does not support method overloading natively, but you can achieve it using default parameter values or variable-length arguments.

Conclusion

Object-oriented programming is a powerful paradigm that makes it easier to write complex software by organizing your code and making it more modular. Python is a popular programming language that supports OOP and provides many tools and features to make it easy to write object-oriented code. In this beginner's guide, we've covered the basics of OOP in Python, including classes and objects, inheritance, and polymorphism. With these tools, you can start building your own object-oriented programs in Python.