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The Easiest Way to Deploy A Streamlit App 

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This tutorial shows you how to deploy a Streamlit app to the Streamlit Community Cloud using a linked Github account, both of which are 100% free. This requires no terminal command line code, but rather only dragging and dropping your streamlit project files into a Github repository on your web browser. This tutorial is geared towards beginners, but is also useful for those who have more experience with either Streamlit or Python.
Deploying a Streamlit project is an easy way to share your data science, machine learning, and/or AI projects publicly and build a portfolio. Streamlit can also be used as an analytics and data visualization tool through the creation of basic and complex python dashboards.
Like, comment, and subscribe to the Deep Charts channel to be notified about future video topics on how to build and deploy advanced Streamlit web app projects for data science and machine learning.
Check out and subscribe to the Deep Charts channel:
www.youtube.com/@UCUlCfM_fqQedxqGPqLVPuGw
**Resources**
Earthquake App Website (Community Cloud): earthquake-app.streamlit.app/
Github Repo Code: github.com/deepcharts/earthquake-app
Streamlit Community Cloud: share.streamlit.io/
Github (Create New Repository): github.com/new (only works if logged in)

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16 июн 2024

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