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Old 06-18-2019, 11:34 AM
Heywood J Heywood J is offline
Join Date: Jun 2006
Posts: 4,107

I think R vs. Python debate is really a debate between statistically-minded data scientists and CS-minded data scientists. If you're dealing with a flood of data, and your challenge is to make effective use of it, then Python would probably be the language of choice for you. If you're trying to tease out signal from your noisy dataset, then R would be the more appropriate language.

If you work for Facebook, and your goal is to figure out how to use gazillion terabytes of data to make people waste more time on Facebook, then you'll be more effective with Python. For typical actuarial uses of data science, I really think that the use of Python should be discouraged. Your choice of tools will bias you towards the kinds of models that you build, and Python will steer you towards models that are ill-suited for insurance.
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