The difference between Python and R is largely philosophical. One is a full-service language developed by Unix scripters that happened to be adopted by stat heads, big data junkies, and social scientists. The other is a tool for data analysis designed and built by stat heads, big data junkies, and social scientists.
The crowds couldn’t be more similar, but the approach is very different. One is a general-purpose tool with many libraries that can help. The other is built specifically for big data analysis.
Which should you choose? Following is a head-to-head comparison to make your decision easier.
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