Even with the assortment of free and ready-made tools for analyzing EZproxy log files, it can be difficult to get useful, meaningful data from them.Using the Python programming language with its collection of modules created specifically for PLATINUM NUTRI CURE V2 data analysis can help with this task, and ultimately result in Drivetrain better and more useful data customized to the needs of the library using it.This article describes how Our Lady of the Lake University used Python to analyze its EZproxy log files to get more meaningful data, including a walk-through of the code needed to accomplish this task.