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Streamlit 101: The fundamentals of a Python data app

Streamlit is an open-source Python framework designed to simplify the creation of highly interactive data apps. It features intuitive syntax that eliminates the need for CSS, HTML, or JavaScript, seamless integration with various data libraries and AI frameworks, and quick iteration cycles. A typical Streamlit setup involves loading data, creating visual components like bar charts and line charts with built-in interactivity, and easy deployment options ranging from local environments to server and cloud deployments. GitHub Codespaces can be used to get started quickly with Streamlit, and the community provides numerous reusable components.

    #ai#python#data-visualization
Jul 23, 2024•8m read time•From blog.streamlit.io
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What is Streamlit?Getting started with Streamlit using GitHub CodespacesBuilding a typical Streamlit appExtending Streamlit functionalityDeploying Streamlit appsScaling with SnowflakeWhat will you build?
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Streamlit

Streamlit's platform is a resource for data scientists and machine learning engineers, offering insi...

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Chanin Nantasenamat
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🥑 Sr. Dev Advocate for Streamlit at Snowflake ▶ Data Professor on YouTube (173K Subs)

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