Build a Data Application with Streamlit

ABSTRACT

Have you ever worked on a project where you wanted a quick and easy way to interact with and visualize data? This is exactly the use case for Streamlit, a Python library intended to build data applications with ease. In this talk, we will provide a brief overview of functionality in Streamlit and dive into several great use cases for it, including data visualization, interactive data analysis, and even working with generative AI models in OpenAI or Azure OpenAI. Along the way, we will get a better understanding of how Streamlit handles page operations, how to use session state, and some of the challenges you may run into while developing your data applications.

ADDITIONAL MEDIA

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SLIDES

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DEMO CODE

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