This chapter lays the groundwork for creating data visualizations using Python. We start by defining data visualization and explaining its importance as a tool for understanding data, particularly in data analysis and technical fields. You will get acquainted with the two primary Python libraries for this task: Matplotlib, the core plotting library, and Seaborn, which provides a high-level interface for creating attractive statistical graphics. We will guide you through setting up your coding environment, importing these libraries correctly, and finally, creating a simple, illustrative plot. Upon completion, you will have a clear understanding of basic visualization concepts and the initial steps required to plot data in Python.