Streamlit is an open-source framework for creating web applications for data science and machine learning tasks. It enables Data scientists to create and deploy interactive web apps quickly and easily, without needing to learn complex web development tools. In this talk, we will introduce Streamlit and show how to get started with building web applications using this framework. We will cover the basic concepts of Streamlit, including the structure of a Streamlit app, how to add widgets and interact with data, and how to deploy your app to the cloud. We will also showcase examples of Streamlit apps that can be built for various use cases, such as data visualization, model training, and predictive analytics. By the end of this talk, you will have a good understanding of how to build interactive web apps with Streamlit and will be able to create your own apps for your data science and machine learning projects.
Technical level: Technical practioner
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