3 ms·
For exploring data, plotting data, and fitting complex models like GLMs and GAMs, using R is essentially as fast as thought at this point. So if you have tabul
by j7ake 3y ago
For exploring data, plotting data, and fitting complex models like GLMs and GAMs, using R is essentially as fast as thought at this point.
So if you have tabular data, it’s a no brainer to use R.
Getting the data into table form is often better suited for python. Fitting models that leverage autograd are also better with python.
- jgalt212 3y ago> Getting the data into table form is often better suited for python. Fitting models that leverage autograd are also better with python. Totally agree. If it's in a dataframe, I prefer R. If I get involved pre-dataframe, I prefer Python.