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.
Google Colab has grown into a powerful, AI-enhanced platform for Python coding, data analysis, and machine learning. With free GPU/TPU access, collaborative editing, and AI tools like the ...
↑ A 12-page natively editable deck, generated end-to-end from a single WeChat article URL using Claude Opus 4.7. No manual design. No image export. Every shape, text box, and chart is clickable and ...