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How to Convert a Streamlit App to an .EXE Executable
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Yuichiro (a.k.a whitphx, also the creator of streamlit-webrtc) is a Streamlit Creator who singlehandedly implemented stlite, a port of Streamlit to WebAssembly powered by Pyodide/ This enables us to use Streamlit in a web page without installing Python locally.
With this + Electron, it is possible to build a Desktop Executable out of this Pyodide-powered project! This currently makes it the easiest way, literally 3 commands, to bundle a Streamlit project into an executable to send to your friends and family!
👉 Links
My tools (Affiliate links to support me!)
______
🪶 Hello DataFans! This month has been brutal, and next is a meetup I need to record and edit, and then I'll be going to PyconFR in Bordeaux! May I meet you there?
👍 On this channel, we love building a lot of small yet smart Streamlit apps to improve our Python chops, and recall our stories around Data Science and Content Creation. Like & Subscribe if you would like to see more videos!
⚠️ 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.
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
With this + Electron, it is possible to build a Desktop Executable out of this Pyodide-powered project! This currently makes it the easiest way, literally 3 commands, to bundle a Streamlit project into an executable to send to your friends and family!
👉 Links
My tools (Affiliate links to support me!)
______
🪶 Hello DataFans! This month has been brutal, and next is a meetup I need to record and edit, and then I'll be going to PyconFR in Bordeaux! May I meet you there?
👍 On this channel, we love building a lot of small yet smart Streamlit apps to improve our Python chops, and recall our stories around Data Science and Content Creation. Like & Subscribe if you would like to see more videos!
⚠️ 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.
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
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