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.

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Data visualization in Python turns raw numbers into clear, compelling stories. With libraries like Matplotlib and Seaborn, you can create anything from basic charts to polished, presentation-ready ...