Streamlit is the fastest way to build and share Python data web apps, but what kind of widgets and features does it provide you with?
I challenge myself to presenting you all the Streamlit features in 20-ish minutes tutorial (cut into a 2-part video).
For Streamlit beginners, this will give you a good overview of all that is possible and browse around the widgets with a good idea of what you are looking for before building your first Streamlit app.
For intermediate Streamliters, there may be a few tricks you did not know about that I accumulated from 2 years supporting users on the forum.
00:00 Intro
00:24 First step with st.write
01:13 Display text in Streamlit
02:26 Display data in Streamlit
03:25 Display charts in Streamlit
06:50 Display media in Streamlit
07:08 Bridge
07:37 Interactive widgets in Streamlit
12:24 Outro
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? Links
- Streamlit website: https://streamlit.io/
- Streamlit docs: https://docs.streamlit.io/
- Streamlit forum: https://discuss.streamlit.io/
- Streamlit Discord (official): https://discord.gg/bTz5EDYh9Z
- Streamlit components (official): https://streamlit.io/components
- Streamlit components (community): https://discuss.streamlit.io/t/streamlit-components-community-tracker/4634
- Altair Gallery: https://altair-viz.github.io/gallery/index.html
- Bokeh: https://bokeh.org/
- Plotly Express: https://plotly.com/python/plotly-express/
? My tools (Affiliate links to support me)
- ? Streamlit Official Book - https://amzn.to/3QuRPwl
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- ?️ Microphone - https://amzn.to/47l5ewA
- ? Music & Sound Effects - https://www.epidemicsound.com/referral/a2p22s
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? I hope you like this format because this took an eternity! Because if you like it, I'm ready to give this treatment to other Python libraries like Rich, the Python standard library or Plotly Express...
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#streamlit #python #datascience #dataapps