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Stop building Streamlit apps that look like every other Streamlit app In this video, you will learn: Advanced Dashboard Architecture: How to master asymmetric columns, container stretching, and dynamic multi-column grids to create a responsive, modern layout. High-Performance Data Pipelines: Techniques for bulk-fetching market data with yfinance, implementing smart caching with TTL, and handling API errors gracefully to keep your app stable. Professional Branding & Styling: How to implement custom themes via config.toml, use Material Design icons, and style Altair charts with semantic color scales for a publication-quality look. Production-Ready UX: Making your app shareable using URL state syncing and implementing robust error handling with st.stop() to prevent "app crashes" when data is missing. After watching this video, you will be able to build Streamlit applications that don't just work—they look premium 00:00 Intro 00:20 UI Layout 01:55 Store / Filter Data 03:20 Transform / Visualize Data 06:09 State --- 🗣️ Stay up to date with the Data Web App Ecosystem 📑 Follow my socials ➡ https://andfanilo.com 📧 Get my latest updates in your inbox ➡ https://andfanilo.com/newsletter 💰 Buy me a coffee to stay awake while editing ➡ https://github.com/streamlit/demo-sto... 🔗 Links App: https://demo-stockpeers.streamlit.app/ Code: https://github.com/andfanilo/streamli... 🔧 My tools (Affiliate links to support me) 📕 Streamlit Official Book - https://amzn.to/3QuRPwl 📷 Main Camera - https://amzn.to/3QvTosB 📷 Main Lens - https://amzn.to/3svYCwq 🎙️ Microphone - https://amzn.to/47l5ewA 🎵 Music & Sound Effects - https://www.epidemicsound.com/referra... --- 🪶 Why did I spend 20 hours on this After Effects video ⚠️ Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. Thank you for supporting my channel so I can continue providing you with free content! #streamlit #python #datascience #dataapps