The ability to explore and grasp data structures through quick and intuitive visualisation is a key skill of any data scientist. Different tools in the Python ecosystem required varying levels of mental-gymnastics to manipulate and visualise information during a data exploration session. The array of Python libraries, each with their own idiosyncrasies, available can be daunting for newcomers and data scientists-in-training. In this talk, we will examine the core data visualisation libraries compatible with the popular Pandas data wrangling library. We'll look at the base-level Matplotlib library first, and then show the benefits of the higher-level Pandas visualisation toolkit and the popular Seaborne library. By the end of the talk, you'll be bar plotting, scatter plotting, and line plotting (never pie charting) your way to data visualisation bliss.