Here you can find an example of a bare bones program to geotag photos. It grabs a variety of attributes from the metadata of each image to automate a previously very time consuming process. In it's simplest form it:

grabs metadata -> organizes by category -> finds closest address -> outputs a usable csv

The goal of this specific coding project was to create a simple workflow that would massively speed up the time it takes to organize and research the closest address and orientation for each image in a project. Since this remains only for in-house use, it is still a simple .py file, but with our talented GUI development capabilities we could easily make it a more approachable and useable application.