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"The first stage of data aggregation can be accomplished with Python. Then the data is fed into R, which applies the well-tested, optimized statistical analysis
by kensai 10y ago
"The first stage of data aggregation can be accomplished with Python. Then the data is fed into R, which applies the well-tested, optimized statistical analysis routines built into the language. It’s as if R is a library for Python. Or maybe Python is a preprocessing library for R."
I really like this approach, actually. Taking advantage of the strengths of both languages.
- fleetingmoments 10y agoWe often take this approach at my company. The heavy lifting of feature extraction from raw data (wearables in our case) are done by python/numpy models. The population level stuff is then often handled in R by data scientists with more of a maths/stats background than an engineering one.