Claude Opus commit added malicious npm dependency in Feb 2026, enabling crypto theft and persistent RAT access.
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 ...
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.