In this 3.5 hour tutorial, attendees will learn how to use the streamlit library in Python to create interactive graphical user interfaces (GUIs) for their data science projects. Through a series of hands-on exercises, attendees will gain practical experience using streamlit to build and customize their own interactive GUIs.

The tutorial will begin by introducing attendees to the basics of streamlit, including how to install and set up the library, as well as the key concepts and components of streamlit applications. Attendees will then learn how to use streamlit to create simple, yet effective, GUIs for their data science projects, including how to display and interact with data, add text and images, and create custom layouts and widgets.

As the tutorial progresses, attendees will have the opportunity to work on more advanced topics, such as using streamlit to create custom interactive plots and charts, and integrating streamlit with other popular libraries such as Pandas and Altair. By the end of the tutorial, attendees will have a solid understanding of how to use streamlit to create effective and engaging interactive GUIs for their own data science projects.

The tutorial will be led by an experienced data scientist with a strong background in Python and streamlit, and will include plenty of hands-on exercises to help attendees apply what they learn in a practical setting. Attendees will also have access to detailed tutorial materials and code samples, as well as support from the instructor and other attendees throughout the tutorial.