22
etrock
6y

What’s your choice?

Comments
  • 6
    why not both?
  • 9
    python of course, because it's useful beyond mschine learning.
    R you can stll learning that later when you've become an expert in ml.
  • 4
    Python is bae <3
  • 1
    Py-fucking-thon 3.
  • 3
    Learning Scala :p
  • 5
    In R array starts from 1. So u know what R stands for ret..
    If u have some prior programming language practice with array starting from 1 you may feel some problems in calculation. Not any sarcastic veiw but a warning
  • 0
  • 1
    R-R-Retarded
  • 0
    Learn scala
  • 2
    I learned both. I preferred Python for a long while but recently took a deeper liking for R. Base R isn’t really my cup of tea but the TidyVerse family of packages implement a consistent design philosophy that allows for very quick and powerful workflows, great reuse of code, closely integrated plotting (I was actually using ggplot2 with Jupyter magic while I was using python anyway) and great Functional Programming utility.

    My data pipeline is in Haskell anyway and I’m embedding my R scripts in Haskell systems, so arrays thankfully start at zero and data is fed to R only at the stage that it’s ready to go into a tibble and down some TidyVerse pipes for analysis.
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