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.

Python has become a go-to language for data analysis, thanks to libraries like NumPy, pandas, and Matplotlib. These tools make it easier to clean, manipulate, and visualize data for actionable ...