An Unfiltered Deep Dive into Streamlit's Limitations

Video Description

Scared of starting out with Streamlit because of all the negative social media comments about it not being fast/interactive/customizable enough? In this video, I'll cruise through those myths, by showing you 3 advanced tips to push Streamlit to its limits. After you watch me mess with threading / asyncio, cache plots and their interactions, and break Streamlit's styling, you should have a good idea of Streamlit's limits and ways to go around Streamlit's "run from top to bottom philosophy" to meet your ends. 00:00 Intro 00:38 Fast & Furious Streamlit 05:45 Bigger ain't always better 09:20 Streamlit Fashion 10:53 So What (Not Miles Davis) --- 🗣️ Stay up to date with the Data Web App Ecosystem - 📑 Follow my socials ➡ https://andfanilo.com - 📧 Get my latest updates in your inbox ➡ https://newsletter.andfanilo.com - 💰 Buy me a coffee to stay awake while editing ➡ https://www.buymeacoffee.com/andfanilo 🔗 Links - Some of the Scripts: https://github.com/andfanilo/social-media-tutorials/tree/master/20230528-stadvancedhack - Asyncio Forum Post: https://discuss.streamlit.io/t/best-fastest-practice-to-display-live-2d-data/19895/4 🔧 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/referral/a2p22s --- 🪶 This video is dedicated to all Streamliters going through the Trough of Disillusionment. It's okay to be frustrated with Streamlit, but it is when you push a library to its limits that you are able to call yourself a Master of it. ⚠️ 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