Gave Them Freepythonhub:

Gave them freepythonhub:

Most of my current workflow involves some manner of data analysis / visualization / relatively light stats in an IPython notebook. A new source of data (Factset, if it helps) has well-developed interfaces for R and Matlab – both of which I’ve used extensively in the past, but barely at all in the last ~year.

My question is which – R or Matlab – is going to lend itself to more flexibility in terms of using data pulled through one of them in Python (at least in cases where switching back over to Python makes sense in the first place)? Would you rather have to use a combination of Python and R, or a combination of Python and Matlab?

Thanks!

submitted by josiahstevenson [link] [comment] [ link ]

Clearly R. By far more accessible. Open Source=free. R libraries grow fast in most areas of research. Reminds me what DEC did with the PDP-11. DEC gave them free to many selected Universities. Soon they became the standard. When grads got jobs eventually they opted for what they knew well. And demended it.

R API or Matlab API for integration with Python downstream? (x-post /r/pystats) [reddit]

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Kode, Transistors and Spirit

Machine Learning, Big Data, Code, R, Python, Arduino, Electronics, robotics, Zen, Native spirituality and few other matters.

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