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Streamlit Features

Streamlit's Core Features

The core features of Streamlit include: - Easy and fast app creation using Python - Interactive widgets for user input - Automatic reactivity to update apps when data changes - Built-in support for popular Python libraries like Pandas, Matplotlib, and Plotly - Seamless deployment on various platforms

Streamlit's Use Cases

Streamlit can be used for various use cases, including: - Building interactive dashboards for exploratory data analysis - Prototyping and showcasing machine learning models - Creating data visualization apps - Creating internal tools for data analysis or automation

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