Streamlit

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Introduction:
Streamlit enables creation and deployment of web apps for data science and machine learning.
Added on:
May 30 2023
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Streamlit Product Information

What is Streamlit?

Streamlit is a Python library that allows you to create and deploy web applications for data science and machine learning projects.

How to use Streamlit?

To use Streamlit, you need to install it using pip and then create a Python script with the desired functionality. You can then run the script using the 'streamlit run' command, which opens a web browser displaying your application.

Streamlit's Core Features

Easy-to-use and intuitive web development framework

Real-time app updates without manual refresh

Built-in support for interactive widgets

Automatic caching for faster performance

Seamless integration with popular data science libraries

User-friendly interface for data exploration and visualization

Streamlit's Use Cases

#1

Building interactive and customizable data dashboards

#2

Creating machine learning prototypes and demos

#3

Sharing and collaborating on data science projects

#4

Deploying data science applications to production

FAQ from Streamlit

Can I use Streamlit with languages other than Python?

Does Streamlit require prior knowledge of web development?

Can I deploy Streamlit apps to cloud platforms?

Is Streamlit suitable for large-scale applications?

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