Object-oriented programming is a programming paradigm that is based on the concept of "objects", which are instances of classes, which are like templates. Objects can contain both data and code: data in the form of fields (also called attributes or properties) and code in the form of procedures (also known as methods). In Python, object-oriented programming is a primary approach to problem solving.

In Python, everything is an object, and almost everything has attributes and methods. All functions have a __doc__ attribute, which returns the documentation string defined in the function definition. Python also provides a built-in library called inspect that helps you get information about live objects such as modules, classes, object instances, functions, and code methods.

7.8. Classes and Objects in Python

Classes provide a way to group data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Each instance of the class can have attributes attached to it to maintain its state. Class instances can also have methods (defined by the class) to modify their state.

Composition

Composition is an object-oriented concept that models a relationship. It allows you to build complex objects by combining simpler objects. This means that a Composite class can contain an object of another class.

In Python, we can use classes to compose more complex objects. Compositing lets you build complex objects by putting other objects together. It is an effective way to create complex objects step by step. Furthermore, composition also allows changing behavior at runtime, as we can replace parts of an object with other objects of the same type.

Aggregation

Aggregation is another type of relationship between classes. Aggregation models a "has-one" relationship between classes. In other words, a complex class "has an" object from another class. To illustrate aggregation, think of a car. A car "has an" engine, "has a" steering system, and "has a" battery. The engine, drive system and battery are all individual components of a car.

In aggregation, objects that are parts of a composite object can exist independently. If the composite object is destroyed, the part objects will still exist. In the car example, if the car is destroyed, the engine, steering system and battery will still exist.

To conclude, object-oriented programming is a powerful way to approach the task of programming. It provides efficient ways to structure code so that it is easy to understand, easy to debug, and easy to modify and maintain. Composition and aggregation are two important concepts in object-oriented programming that allow you to create complex objects from simpler objects.

Understanding these concepts is critical to becoming an effective Python developer, as they are widely used in many Python libraries and frameworks, including Django. Therefore, learning and practicing object-oriented programming in Python will open up many opportunities for you as a developer.

Now answer the exercise about the content:

What is the difference between composition and aggregation in object-oriented programming in Python?

You are right! Congratulations, now go to the next page

You missed! Try again.

Article image Classes and Objects in Python: Operator Overloading

Next page of the Free Ebook:

45Classes and Objects in Python: Operator Overloading

3 minutes

Obtenez votre certificat pour ce cours gratuitement ! en téléchargeant lapplication Cursa et en lisant lebook qui sy trouve. Disponible sur Google Play ou App Store !

Get it on Google Play Get it on App Store

+ 6.5 million
students

Free and Valid
Certificate with QR Code

48 thousand free
exercises

4.8/5 rating in
app stores

Free courses in
video, audio and text