Streamlit 101 - A faster way to build and share data apps

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In this video, @DataProfessor provides an overview of Streamlit and how you can get started in building your own interactive data apps in no time.

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps – in only a few lines of code.

Getting started resources

Timeline
0:00 Introduction
1:14 How does Streamlit work?
1:36 Getting started with Streamlit
3:33 Extending Streamlit functionality
4:05 Deploying Streamlit apps

#streamlit #dataapps #dataapp #webapp #python #datascience
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I like DataProfessor. I would like more videos from him:) Like this video)

DmitryPonomareF
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Streamlit ois indeed a powerfull tool !

fabianacampanari
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while plotting the line chart, is it default setting in streamlit that it takes the browser timezone information, even if the dataframe is in to different timezone.

thejaatsahabvlogs
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i created a dashboard using streamlit, pandas, and plotly. when i run the code in vs code, it displays the full dashboard with all the data. however, when i deploy it on streamlit share, the dashboard or some charts are not fully visible.

Lucifer._.
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what about how to use database to save data and retrieve

oktjona
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Does this support VPython? if so can you make a video about that

MRTYT
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Good video on streamlit. Is it possible to drill down and drill across on a chart in streamlit? Grt if there is any document. Thanks

saimanohar
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Thanks a lot for this video. Could you please show how to deploy a Streamlit app that connects to a PostgreSQL database?

MohamedjihedJenayah
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Considering recent events. It might be better to distance Streamlit from Snowflake.

ReginaldCarey