Working on siuba, a data analysis tool for python. It's a port of the R library dplyr, and can produces SQL queries!
I've programmed in python for much longer than R, and really want to be able to move at the same speed when using python for data analysis :o.
It's a weird problem though because the two languages have basically opposite approaches to DataFrames. pandas has a very fat DataFrame implementation, R an extremely minimal one. (Pros and cons to both approaches).
I've programmed in python for much longer than R, and really want to be able to move at the same speed when using python for data analysis :o.
It's a weird problem though because the two languages have basically opposite approaches to DataFrames. pandas has a very fat DataFrame implementation, R an extremely minimal one. (Pros and cons to both approaches).
https://github.com/machow/siuba