I'll preface my question with the fact that I'm just learning about linear regression so I may be thinking about this wrong.
I have a set of data. In this set I have one dependent variable and about 10 independent variables and the data set is growing regularly. It's rows of data in database with 10 columns of independent variables and one column of the dependent variable. You can see my previous question for an example of what I'm trying to do: Variables importance: who can do the most pushups?
The output of a linear regression is a formula right?
Now I want to write a python script (I could use R also but I'd greatly prefer python) to take this data as input and output the linear regression formula. Is there a python method to do this? Do I need to run a regression comparing each independent variable with the dependent variable one at a time? Or is there a python method to feed in the data with all 10 independent variables and come out with a formula?