I beg to differ. If you are talking about dplyr, it has a much smaller and consistent API. And I learned python first. It is certainly interesting though, how

I beg to differ. If you are talking about dplyr, it has a much smaller and consistent API. And I learned python first. It is certainly interesting though, how there are so many people firmly in opposite camps. I really cannot imagine how pandas could be considered well put together; I'm always searching stackoverflow for data transformations I assume should be common and simple. In dplyr, on the other hand, each function does one and only one thing (the touted Unix principle) and you just pass the data along via the pipe %>% operator