Python Object-Oriented Programming Examples - From Concepts to Code!

Python Object-Oriented Programming Examples - Learn OOP from the Basics to the Real World!
PythonI've often wondered: "My code is getting too long and complicated because I've been writing in a procedural way... should I switch to object-oriented?" 🤔 🤔 I'm not sure if I'll be able to do that.
Python supports both procedural and object-oriented styles, but learning Python object-oriented programming (OOP) will make your code cleaner and easier to maintain.
In this article, we'll use the Basic concepts and uses of OOP with Python object-oriented programming examples.and we'll also learn about Features of Python as an object-oriented language versus Python's object-oriented procedural approachWe'll also take a look at the code examples, which are easy to follow, so stick with us!
What is the Python Object-Oriented Language?
Object-oriented programming (OOP) is a way of designing programs by dividing them into units called "objects". Python is one of the leading object-oriented languages, using classes and objects to handle data.
Features of Python's Object-Oriented Language
- Classes and objects: Structure your data and make it more reusable.
- EncapsulationProtect sensitive data and restrict access from the outside.
- Inheritance: You can easily extend new classes based on existing classes.
- Polymorphism: Makes the same method name behave differently depending on the class.
Python Object-Oriented vs. Procedural Oriented

Compare with tables
| Features | Procedure-oriented | Object-oriented |
|---|---|---|
| How we handle data | Process data into functions and variables | Bundle data into objects for processing |
| How to write code | Write in a sequential flow | Leverage encapsulation and inheritance to write structured code |
| Code reusability | Low reusability | Reuse code with encapsulation and inheritance |
| Maintainability | Complexity increases with longer code | Easy to maintain and highly scalable |
| Key use cases | Write simple scripts, quick test code | Large-scale software design, complex data modeling |
Procedure-driven programmingtreats data as functions and variables, and writes code in a sequential flow. This approach is great for solving simple problems quickly, but as code gets longer and more complex, it can become harder to maintain and less reusable.
Whereas, Object-oriented programmingbundles data into objects and utilizes encapsulation and inheritance to make code more reusable and extensible. Object orientation is a particularly powerful tool for large-scale software development because it's easy to maintain and allows for a wide range of feature extensions.
For example, this is what happens when you implement a dog's behavior in a procedure-oriented way:
# Procedure Oriented Method
name = "Buddy"
breed = "Jindo"
def bark():
return f"{name} barks loudly!"
print(bark())The object-oriented approach is cleaner:
# Object-Oriented Method
class Dog:
def __init__(self, name, breed):
self.name = name
self.breed = breed
def bark(self):
return f"{self.name} barks loudly!"
my_dog = Dog("Buddy", "Jindo")
print(my_dog.bark())Python Object-Oriented Programming Examples
1. Class and object examples
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def introduce(self):
return f"Hello, my name is {self.name} and I am {self.age} years old."
person = Person("Charlie", 25)
print(person.introduce())
Code commentary
__init__Methods: Initialization method at object creation time, setting the name and age.self: References the object itself, accessing its properties and methods.introduceMethodsMethods that print information about the object.
2. inheritance example

class Animal:
def speak(self):
return "Makes a sound."
class Dog(Animal):
def speak(self):
return "Woof!"
class Cat(Animal):
def speak(self):
return "Meow!"
dog = Dog()
cat = Cat()
print(dog.speak()) # Output: Woof!
print(cat.speak()) # Output: Meow!
Code commentary
- Parent Class
AnimalDefine a common behavior (vocalization) for all animals. - Child Classes
DogandCat: parent class'sspeakmethod (overriding). - Polymorphism: The same method name (
speak) behaves differently depending on this class.
3. encapsulation example
class BankAccount:
def __init__(self, owner, balance):
self.owner = owner
self.__balance = balance # Private attribute
def deposit(self, amount):
self.__balance += amount
return f"Deposited {amount}. Balance: {self.__balance}."
def withdraw(self, amount):
if self.__balance >= amount:
self.__balance -= amount
return f"Withdrew {amount}. Balance: {self.__balance}."
else:
return "Insufficient funds!"
account = BankAccount("Alice", 10000)
print(account.deposit(5000))
print(account.withdraw(7000))
Code commentary
__balance: Declared as a Private property that cannot be accessed from outside.depositandwithdrawMethodsSecurely manage the balance of your bank account.- Encapsulation: Protect data, allowing access through methods if necessary.
Finalize
In this article, you learned the basic concepts and uses of OOP through examples of object-oriented programming in Python. You've seen the strengths of Python as an object-oriented language and the differences between Python's object-oriented procedural approach and object-oriented programming. By mastering object-oriented programming, you'll be able to write cleaner, more maintainable code.
Now follow along and feel the Python OOP magic for yourself! And 😄 and 😄 and 😄. Python ORM - Django ORM and SQL, the pros and cons in a nutshell! Check out the post to learn more about databases!
# Glossary
Glossary (for beginners)
1. select Object
- A unit that is a code representation of a real-world object or concept.
- Objects have Attributes and Methods.
- Attributes: The state or data of an object.
- Method: An action or function that an object can perform.
2. click Class
- A blueprint for creating an object.
- Classes define properties and methods, which allow you to create multiple objects.
3. click Instance
- An individual object created from a class.
- A class is a blueprint, and an instance is an entity created from that blueprint.
4. Inheritance
- The ability to create a new class (child class) based on an existing class (parent class).
- Increase code reusability and make it easy to extend functionality.
5. Encapsulation
- The concept of protecting properties inside an object from direct access from the outside.
- Mainly Private property, which controls access using getter/setter methods.
6. Polymorphism
- The ability to make methods with the same name behave differently depending on the class.
- It is implemented by overriding (overriding) methods defined in the parent class in the child class.
7.
__init__Methods
- The initialization method that is automatically called when the object is created.
- Used to initialize or set a default value for an object's properties.
8.
self
- A keyword that refers to the object itself, used to access properties and methods from inside the class.
- All instance methods take a
selfto use the9. Overriding
- This means overriding a method of the parent class in a child class.
- Methods with the same name are implemented to behave differently in the parent and child classes.







