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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 ...