Streamlit: A Faster Way to Build and Share Data Apps
summary
Claims that turns Python scripts into shareable web apps with minimal code, demos a live app that loads images, runs Keras models and shows side‑by‑side results, and uses widgets as variables so sliders and file uploads drive the script. Shows caching primitives like st.cache / experimental_memo to avoid reloading models, layout primitives (sidebar, columns), and VGG and MobileNet predictions that actually run. Mentions one‑click deploy to Streamlit Cloud.
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chapters (8)
- 0:00Introduction
- 1:58Sharing data science results
- 8:15What is Streamlit
- 15:53Build Streamlit app
- 29:47Add interactivity and layout
- 35:12Streamlit widgets and ecosystem
- 36:41Deployment and sharing
- 37:21Q&A
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