Streamlit for Data Science

Table of Contents

1. An Introduction to Streamlit
2. Uploading, Downloading, and Manipulating Data
3. Data Visualization
4. Machine Learning and AI with Streamlit
5. Deploying Streamlit with Streamlit Community Cloud
6. Beautifying Streamlit Apps
7. Exploring Streamlit Components
8. Deploying Streamlit Apps with Hugging Face and Heroku
9. Connecting to Databases
10. Improving Job Applications with Streamlit
11. The Data Project – Prototyping Projects in Streamlit
12. Streamlit Power Users