Streamlit
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Introduction:
Streamlit simplifies web app creation for data visualization, ML, and more.
Added on:
Jun 29 2023
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Streamlit Product Information
What is Streamlit?
Streamlit is a Python library that allows users to easily create and share interactive web applications for data visualization, machine learning, and other purposes.
How to use Streamlit?
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.
Streamlit's Core Features
Easy-to-use Python library
Interactive web application development
Supports data visualization
Provides components for creating interactive UI elements
Seamless integration with Python machine learning libraries
Automatic updates of apps when code is modified
Supports real-time collaboration
Streamlit sharing platform for easy app deployment
Streamlit's Use Cases
#1
Data exploration and analysis
#2
Machine learning model deployment
#3
Interactive data visualizations
#4
Prototyping and demonstrating ideas
#5
Creating custom dashboards
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