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.
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👉 Links
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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)
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🪶 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.
⚠️ Disclaimer: This video is not sponsored, I receive no compensation by any brand quoted in this video. Views are my own and do not represent my employer's.
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#streamlit #python #datascience #dataapps
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