Learn the basics of Streamlit, an open-source Python library for building web apps for machine learning and data science. The guide covers installation, setting up a simple app, and adding interactive features like titles, headings, paragraphs, buttons, sliders, radio buttons, dropdown menus, and a sidebar. It concludes with creating a basic web app that filters the Iris dataset using sidebar controls.
Table of contents
Installing StreamlitAdd title, headings, and paragraphsAdding different kinds of buttons to the Streamlit appAdding sliderAdding the dropdown menu in the appAdding a Sidebar in StreamlitCreating a simple web app using StreamlitSort: