Summary
After this chapter, you hopefully have a solid understanding of how to leverage several incredible open-source Python visualization libraries from within Streamlit.
Let’s recap. First, we learned how to use the default visualization options, such as st.line_chart() and st.map(), and then we dove into interactive libraries such as Plotly, mapping libraries such as PyDeck, and everything in between.
In our next chapter, we will move on to cover how to use machine learning and AI with Streamlit.
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