Each of the programming paradigms have their own use. Although I’m not a big fan of object oriented programming. Functional programming is highly useful when you want to achieve high level of abstraction. This helps in segregating implementation from specification. But the problem with functional programming is the inefficiency. The inefficiency primarily comes around because of lack of control on implementation. This can be surmounted over time as smart interpreters are built. Iterative programming on the other can give that control to the programmer right away. It is also sometimes easier to build interative programs as over time programmers have been used to coding in this paradigm.

In contrast to these two types of programming, OO does not offer much advantage. The only new thing that it brings to table is the ability to maintain state as part of objects. But that can be achieved through other means.

So my approach to writing analytics code is to use iterative programming but keeping in mind functional paradigms (like abstraction, statelessness, use of firs-class functions etc..). This ensures the code is clean like a functional program at the same time has the efficiency of an iterative program. Python is an ideal language for achieving this.

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