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Streamlit

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Introduction：
Streamlit is a Python library for creating and sharing web apps for ML and data science.
Added on：
2025-01-13
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What is Streamlit?

Streamlit is a Python library that allows you to create and share custom web apps for machine learning and data science. It provides an intuitive way to build user interfaces for your models and data visualizations.

How to use Streamlit?

To use Streamlit, you need to install it using pip and then import the library in your Python script. You can then use Streamlit's functions to create interactive widgets, generate plots, and display data. Finally, you can run your app using the 'streamlit run' command.

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

  • #1 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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Streamlit Tags

dashboard Data Science data visualization deployment Machine Learning Prototyping Python user interface web app Widgets Dash Pandas Matplotlib Plotly