Comparison – R vs. Python: head to head data analysis

Re:Comparison – R vs. Python: head to head data analysis by sweezyjeezy on Wednesday October 14, 2015 @10:58AM (#10386963)

Algo people use R because it's faster, nothing to do with being 'data people'.

I am a data person, and I have to deal with a lot of text in my job. If I had to do it in R, I would quit.

Can you explain why you think it is easier to wrangle data in R? My experience is the opposite.

[ Parent | on HN ]

Re:Comparison – R vs. Python: head to head data analysis by vegabook on Wednesday October 14, 2015 @11:09AM (#10387033)

Do you mean they use Python because it's faster? yes sure. But then, just use scala. 10x faster again. With a REPL.

Perhaps I should clarify, I'm talking mainly time series and/or data which is vectorizable. Python is better if you're scraping the web. If there's a lot of if else going on. Ie imperative programming.

R's native functional aspects (all the apply family) and multilevel vector/matrix hierarchical indexing is better built from the ground up for large wrangling of multivariate datasets, in my opinion.

[ Parent | on HN ]

Re:Comparison – R vs. Python: head to head data analysis by hadley on Wednesday October 14, 2015 @12:59PM (#10387806)

Working with text data in R is painful, but it's not due to limitations of the language.

[ Parent | on HN ]