Getting Started with Streamlit for Data Science

Table of Contents

1. An Introduction to Streamlit
2. Uploading, Downloading, and Manipulating Data
3. Data Visualization
4. Using Machine Learning with Streamlit
5. Deploying Streamlit with Streamlit Sharing
6. Beautifying Streamlit Apps
7. Exploring Streamlit Components
8. Deploying Streamlit Apps with Heroku and AWS
9. Improving Job Applications With Streamlit
10. The Data Project - Prototyping Projects in Streamlit
11. Using Streamlit for Teams
12. Streamlit Power Users