Object-Oriented Programming with Python has been a wide and traditional approach to solving real-world problems. Traditional languages for OOP were Java and C++, but somehow Python has emerged as a very huge scale and also supports the Object-Oriented paradigm of programming where real-world components are considered objects and solved accordingly
Python being one of the emerging languages of today’s era highly supports Object-Oriented aspects and has provided many built-in functionalities for developer’s ease. Also, Python doesn’t fully support each aspect of OOP but still, it is considered
The object-Oriented paradigm provides many ways to solve problems in different ways and more efficient ones. The developer has to think and design the whole system to create possible solutions using OOP techniques such as inheritance, polymorphism
While Python is also considered for the data science and machine learning domain. So creating ease and providing a way to solve problems helps a lot to achieve the targets
With a bunch of support from the Python libraries, Python has been highly used. OOP concepts have been widely used in many Python libraries.
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