Build Interactive Web Apps with Python: Streamlit and Supabase
summary
A concrete walkthrough of a Python web stack using Streamlit for the frontend and Supabase (Postgres) for the backend, demonstrating a deployed interactive dashboard that supports real-time CRUD, authentication/session management, state and cache handling. The demo uses 5,000 Spotify tracks across eight genres to drive Pandas/Plotly visualizations, and the talk discusses deployment options (Streamlit Cloud, Docker/VPS, Railway, Render), security and best practices including Postgres 17 with RLS-backed auth, secrets handling, query tips and project structure.
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