- Jul 29, 2012
You're correct on the whole final part. R is so much easier than Python, for me. Panda accomplishes much of what R can do, in Python. Anyone that organizes data can use R. Shit, I'm doing a project right now where I'm using NBA data and visualizing it. Plotted out field goal percentage for 10 players. You can imagine how machine learning would be useful for predicting drawdown on lines of credit, or predicting account balances, creating a nice dashboard of performance etcWow, I didn't know R was used outside of academia. I'd assume that the difficulty curve would push away these institutions into the more basic, non-coding licensed programs like SPSS or SAS.
I introduced it to my former mentor's lab. He mainly used Unix, bash scripting, and Python. I'm going to take, maybe, a 4th fucking class in R in the Fall I think. Sick of classes, but I think that one is my final one. Teaches machine learning in R, so I guess it's necessary considering what I hope to accomplish.
Anyways, I find R so much easier than Python, but I heard that Pandas is like R in Python.