Java

Object-Oriented Programming has the following reasons to be used:
1) OOP provides a clear modular structure for programs.
2) OOP makes it easy to maintain and modify existing code.
3) OOP provides a good framework for code libraries where supplied software components can be easily adapted and modified by the programmer.
4) Code reusability.
5) It is suitable for real word problems and real world works.
Few more points for better understanding are:
Why? Because if you stick to the rules, it makes complex code easier to develop, reliable, maintainable, and generally better.
OOP insists that you think about what you expose to the outside world, it lets you change the implementation of an object without affecting any other code. (Encapsulation)
It allows you to have many different functions, all with the same name, all doing the same job, but on different data. (Polymorphism)
It lets you write a set of functions then expand them in the different directions without changing or copying them in any way. (Inheritance).

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Currently, Python is doing to Java what Java did to C/C+ when Java was at its peak. Back in those days many applications which needed performance did still use C/C+ but accompanied by high maintenance costs from the sheer amount of code written to achieve simple tasks and also the difficulty in building OS and machine independent applications. However, things changed in favor of Java when computers became powerful and hardware costs came down. People (like me) who looked down on using Java to build applications started accepting Java's advantages in building applications. Back then Python was primarily used as a scripting tool and was used in building test automation (and it still is being used for that purpose too.). Now comes the glorious age of data science and various tech startups in e-commerce and social space. What could be done by writing a thousand lines Java code is achieved in a couple of lines of code in Python. This means that there is less maintenance of code. On top of this, Python does not have arcane syntax and the code is pretty much human readable. For machine learning applications there are very good libraries such as Pandas, sci-kit-learn, etc. The primary advantage with Python is that focus can be put on solving business problems rather than spending the most time on fixing bugs related to faulty code. Coming to web development frameworks such as Django, Tornado provides a wide range of needs from quick development to high-performance websites.