A Python App to Explore COVID-19 Demographics Using Streamlit and Census Data

Learn how to build a Python application exploring COVID-19's demographic impact across America in this 18-minute conference talk from SF Python. Follow along as Staff Data Science Engineer Ari Lamstein demonstrates the integration of Streamlit and Censusdis packages to analyze and visualize census data. Discover the five key components of the application, tackle Streamlit challenges, understand deployment processes, and gain insights into working with Census data. Through practical examples and a detailed walkthrough, master the techniques for creating interactive data exploration tools that reveal how the pandemic transformed different communities across the United States.