Building Interactive Web Apps with Streamlit Input Widgets

Static data scripts can only take your analysis so far. To truly share your insights, you need to build interactive interfaces where users can explore data on their own terms. This course guides you through the process of turning Python scripts into interactive web applications using Streamlit. You will progress from understanding the basic execution model to implementing dynamic inputs that instantly update your application's output. What you'll learn: - Understand the foundational Streamlit execution model and how scripts rerun on user input - Implement core input widgets including text inputs, sliders, select boxes, and numeric fields - Manage application state using modern session state features to preserve user data across reruns - Organize your application layout using columns, containers, and expanders for a clean user experience - Connect user inputs directly to data filtering and basic visualization logic - Practice writing clean, modern Python code with type hints to build robust web applications The course starts with essential web app terminology and setup, then moves step-by-step through widget integration, state management, and layout design. You will learn entirely through clear written explanations, practical code examples, and structured exercises. This course is designed for beginners who have a basic understanding of Python and want to learn how to share their data projects as web apps. No prior web development, HTML, or CSS experience is required. Start reading today to unlock the power of interactive Python web applications.