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Randy Zwitch
There's a ton of overlap between capabilities of Python and R. You'll never be wasting your time learning another technical programming language.
In the end, once you start having more data experience, you'll find the sweet spot in terms of what tools are good where. For me, I tend to default to R first because someone is likely to have made a package for my task already. If I need to clean a bunch of text data or access APIs, I tend to use Python. And if I know I'm creating a model/algorithm that will go into our production API, I'll just start with Python so that I don't need to translate R code later.
In the end for most data mining/ML tasks, it's all the same math and the higher level languages are calling C or Fortran routines behind the scenes. So use whatever that gets the job done!
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There's a ton of overlap between capabilities of Python and R. You'll never be wasting your time learning another technical programming language.
In the end, once you start having more data experience, you'll find the sweet spot in terms of what tools are good where. For me, I tend to default to R first because someone is likely to have made a package for my task already. If I need to clean a bunch of text data or access APIs, I tend to use Python. And if I know I'm creating a model/algorithm that will go into our production API, I'll just start with Python so that I don't need to translate R code later.
In the end for most data mining/ML tasks, it's all the same math and the higher level languages are calling C or Fortran routines behind the scenes. So use whatever that gets the job done!
See Questions On Quora
Continue reading...
