Editable data frames in Py-Shiny: Updating original data in real-time
summary
Live demo of editable Py-Shiny tables shows per-column filters, numeric min/max filtering, and in-browser edits that trigger Python to recompute styles so top-five highlights update immediately; cell edits round-trip as typed DataFrame views. Introduces the Empowered Renderer API that exposes typed methods (data, data_view, sort, selected_cells) for reactive access and updates, plans for Narwhal support to accept many dataframe types, and mentions cell-level Shiny inputs (e.g., plotly) and future Great Tables / Reactable integration.
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