I started programming with C, then I went to Matlab,

and eventually to Python.

I usually use Matlab, C, and C++,

but for data science I use Python.

- R and Python.

- R.

- I'm an R evangelist.

I was at the useR Conference last year

and I think it's got one of the best communities,

I'm also very fond of SQL and I think people don't spend

enough time appreciating it in its various incarnations.

- I primarily work with R and Stata.

I do not work a lot with big data so for the kind

of data sets I have, there are a few million observations,

even the hundreds of millions of observations

then I can work with with the existing Stata and R and SPSS,

I don't have a problem with it,

but as I said, if I were to work with large data sets,

I would use different tools.

My preferred tools are the three; R, Stata, and SPSS.

I also work with spacial data a lot

so these are data sets which have a geographical

component to it, so imagine 40 million Californians

and 40 million people, some of them in California,

some of them in the neighboring states,

and what if I know the exact home address

of each and everyone of them and where they work.

And that would be an amazing GIS,

spacial geographic information systems database.

So I work with those as well and my tool that I use

is called Maptitude and MapInfo,

these are the two I use the most.