Python vs (and) R for Data Science

He came up with some interesting observations based on the data:If you’re looking to move towards Linux next year, you’re more likely a Python userIf you studied statistics you’re more likely R, and if computer science then PythonIf you’re young (18–24 years old), you’re more likely Python userIf you do code competitions, you’re more likely a Python userIf you want an android next year, you’re more likely a Python userIf you want to learn SQL next year, more likely R userIf you user MS office, you’re more likely an R userIf you want an Rasperry Pi next year, you’re more likely an Python userIf you’re a full time student, you’re more likely to be a Python userIf you’re using Agile methodology, you’re more likely to be a Python userIf you’re more worried than excited about AI, then you’re more likely to be an R userPreferenceWhen I had corresponded with Alex Martelli, Googler and Stack Overflow lord, he had explained to me why Google had started with a few languages they officially supported..Even in the free spirited innovated space like Google, there seems to be some restrictions..That is a preference that goes into play here as well, corporate preference.Aside from corporate preference, someone in an organization is usually the first..I know who the first was at Deloitte to use R..He’s still with the firm and is the now the Lead Data Scientists..Point being, and my general advice in all things, follow what you love, love what you follow, lead the pack, and love what you do.One qualifying statement, although I’ve never been a tool first thinker, if you are working on something important it may not be the best time to experiment..Mistakes are possible..However, every well designed Data Science project leaves some head room for the Data Scientists..Use a portion of that to learn and experiment..Keep an open mind and embrace diversity.In closing, I’m sticking mostly with Python but am looking forward to learning more R, with and without Python.. More details

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