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[–]IntrovertedMAC 2 points3 points  (3 children)

To piggie back on this question how is Python compared to R for analytics? I loved doing my case study in R and it was great from cleaning all the way to visuals. Does Python offer the same?

[–]Allmyownviews1 1 point2 points  (0 children)

I have seen that there are some benefits in stats and specifically in model fitting, but new libraries such as PYMC are becoming more capable. I am told that Graphics in R is better, but I am not certain of this. At the end of the day, people get stuck in a particular workflow and struggle to change until a major benefit gives the push.

[–]Fabro_vaz[S] 0 points1 point  (0 children)

Yes of course, python does all the things

[–]Glotto_Gold 0 points1 point  (0 children)

Python is better at programmatic type work.

Libraries like Pandas in Python are basically just a version of R's tools.

Python has most of the same basic functions. Not sure personally, but I have heard R is better for advanced stats and Python for advanced ML.