DataOrangutan
Streamlit is a Python library that allows users to easily create and share interactive web applications for data visualization, machine learning, and other purposes.
Description
how to use:
To use Streamlit, you need to install the library using pip. Then, you can import the necessary modules and start building your application by writing code. Streamlit provides various functions and components to create interactive elements like sliders, buttons, and plots. Once the application is ready, you can run it using the Streamlit command and access it in a web browser.
Core freatures:
Easy-to-use Python libraryInteractive web application developmentSupports data visualizationProvides components for creating interactive UI elementsSeamless integration with Python machine learning librariesAutomatic updates of apps when code is modifiedSupports real-time collaborationStreamlit sharing platform for easy app deployment
Use case:
Data exploration and analysis
Machine learning model deployment
Interactive data visualizations
Prototyping and demonstrating ideas
Creating custom dashboards
FAQ list:
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