In a recent project, the author explored building a full-stack Python application by developing a frontend using Streamlit to complement a backend previously created with FastAPI, Docker, and Fly.io. Streamlit was chosen for its speed, Python-first approach, and data-focused capabilities, allowing the author to create a user-friendly interface without delving into HTML, CSS, or JavaScript. The project involved integrating the frontend with the backend through API calls using the requests library, along with handling environment variables and configuring CORS settings for seamless communication between different domains. Deployment was streamlined using Streamlit Cloud, enabling quick and easy hosting of the frontend. The experience emphasized the efficiency of using Python for both frontend and backend development, highlighting the advantages of containerization with Docker for consistent deployment across environments.