Streamlit is an open-source Python library designed to simplify the creation and sharing of custom web applications for machine learning and data science projects. This Medium blog provides a comprehensive guide to building a Streamlit application, highlighting its features like buttons, sidebars, and page design capabilities, which allow users to create organized and interactive data visualizations. The author walks readers through developing a web page using Streamlit, utilizing a dataset from Twitter statistics to demonstrate how to visualize and present data through various elements such as graphs and data frames. The blog emphasizes the ease of integrating HTML, CSS, and JavaScript for enhanced visual and functional features, along with the ability to switch themes to match user preferences. Additionally, it covers deploying applications using Streamlit Cloud, offering insights into publishing data science projects with support from Docker and Kubernetes. The article encourages readers to explore the author's GitHub repository for the complete code and suggests following them on social media for further engagement.