Interactive data visualization in Python transforms static charts into dynamic tools for exploration. Using Matplotlib with ipympl in JupyterLab allows zooming, panning, and real-time updates.

Why Python matters: Its simplicity, versatility, and powerful libraries make Python ideal for data analysis, from basic cleaning to advanced visualization. Key tools explained: NumPy handles numerical ...