What is streamlit?

Streamlit is a popular open-source Python library used for building interactive web applications for machine learning and data science projects. It provides a simple and intuitive way to create and customize web interfaces for data visualization, analysis, and model deployment.

Key features of Streamlit include:

1. Quick and easy deployment: Streamlit allows users to quickly turn data scripts into shareable web apps without the need for extensive web development knowledge.

2. Interactive widgets: Streamlit provides a wide range of built-in widgets such as sliders, dropdown menus, checkboxes, and text inputs to make applications more interactive and user-friendly.

3. Real-time updates: Streamlit automatically updates the web app in real-time whenever the underlying code is modified, making it easy to see changes instantly and iterate on the application.

4. Seamless integration with popular data science libraries: Streamlit seamlessly integrates with libraries like Pandas, Matplotlib, Plotly, and scikit-learn, allowing users to easily incorporate data visualization and machine learning models into their web applications.

Overall, Streamlit is a powerful tool for data scientists and developers to create engaging and interactive web applications for showcasing and sharing their work.