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3 min read
Object-Oriented Programming is a programming paradigm that is based on the concept of "objects". Objects, in this
context, are similar to Data in that they are instances of
classes, which are essentially user-defined data types. OOP allows for properties and behaviors
(attributes and methods) to be bundled together within objects, facilitating reusability and modularity.
The four pillars of OOP are: Encapsulation, Inheritance, Polymorphism, and Abstraction.
Encapsulation: It hides the internal data from outside interference.
Inheritance: It allows one class to acquire the properties of another class.
Polymorphism: It enables a method or function to perform different tasks.
Abstraction: It hides complex details and shows only the necessary information.
Python, akin to its wide-ranging applications in fields such as Machine Learning, is a powerful language that
supports a variety of programming paradigms, including OOP. When we talk about
Object-Oriented Programming in Python, we refer to writing Python code that takes full advantage of the OOP
For instance, let's take an example of a class in Python:
The benefits of learning OOP are immense. It makes the code more readable, reusable, and easy to maintain, mirroring
the strengths of effective Software
many popular programming languages like Java, Python, C++ use the OOP paradigm, making it a valuable skill for every
In conclusion, Object-Oriented Programming is not just a programming style; it's a mindset that can significantly
improve your code structure and efficiency. So, delve into it, understand its essence, and open up new possibilities
your coding journey!
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