Overview

If you’ve ever wished to turn your Python scripts into shareable web apps quickly — without learning frontend development — then Streamlit is your new best friend. It’s a lightweight open-source framework designed specifically for data scientists, analysts, and developers who want to visualize data, build dashboards, or share ML models through an interactive interface. In this tutorial, we’ll walk step-by-step through installing Streamlit, understanding its core components, and building a practical project — an interactive data explorer that visualizes a dataset with filters and charts. By the end of this codelab, you’ll have a solid understanding of Streamlit’s workflow and enough confidence to start building your own web apps right from your Python IDE.