Exploratory data analysis (EDA) is an important pillar of data science, a critical step required to complete every project regardless of the domain or the type of data you are working with. Yet, analysts and developers often resort to grasping at straws when it comes to their process for exploring their data and trying to find insights. Having witnessed the lack of structure in conventional approaches, I decided to document my own process and come up with a formal framework for data exploration with Python. This poster features both the resulting framework and the Python tools and libraries one can use with it.