Summary
After this chapter, you hopefully have a solid understanding of how to leverage the incredible open source Python visualization libraries to make web apps in Streamlit.
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 cover how to use machine learning in Streamlit.