Recently, a new source of data with great potential for use in the mathematics classroom has become available. The smartphones in our pockets are packed with sensors. Most phones have at a minimum global positioning, accelerometer, magnetometer, and gyroscope sensors. We give an example of the collection and analysis of global positioning sensor (GPS) data. Specifically, we find the fastest mile in a smartphone recording of an ordinary jogging workout. All of the analysis is done with the free Jupyter/Python computing environment. This example can be used by an instructor knowledgeable in the use of Jupyter/Python to scaffold a GPS project for students in a laboratory calculus classroom. More broadly, via this example, we provide a framework for instructors to incorporate these kinds of easily accessible data projects into the mathematics classroom. We also encourage the collaborative development of other phone sensor projects via a github repository.