Lilly Tech Systems
Learn Streamlit
Build beautiful Python web apps in minutes. Streamlit turns data scripts into shareable web apps with no frontend experience required — perfect for data science, ML demos, dashboards, and interactive tools.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is Streamlit? Build Python web apps in minutes with a focus on data science and ML.
2. Installation
Install Streamlit with pip, create your first app, and experience hot reload development.
3. Core Features
Master st.write, titles, markdown, layout with columns/tabs/sidebar, and caching strategies.
4. Data Display
Display DataFrames, tables, and charts with st.line_chart, st.bar_chart, Plotly, Altair, and st.map.
5. Interactivity
Add buttons, sliders, selectboxes, text inputs, file uploaders, session_state, and forms.
6. Deployment
Deploy to Streamlit Community Cloud, Docker, Hugging Face Spaces, AWS, and GCP.
7. Best Practices
Performance tips, app architecture, security, testing, and production optimization strategies.
What You'll Learn
By the end of this course, you'll be able to:
Build Web Apps
Create interactive Python web applications without any HTML, CSS, or JavaScript knowledge.
Visualize Data
Display DataFrames, create charts with Plotly and Altair, and build interactive dashboards.
Add Interactivity
Build forms, handle user input, manage state, and create dynamic user interfaces.
Deploy Anywhere
Deploy apps to Streamlit Community Cloud, Docker, HF Spaces, or any cloud provider.