Summary
This chapter was full of fundamental building blocks that we will use often throughout the remainder of this book, and that you will use to develop your own Streamlit applications.
In terms of data, we covered how to bring our own DataFrames into Streamlit and how to accept user input in the form of a data file, which brings us past only being able to simulate data. In terms of other skill sets, we learned how to use our cache to make our data apps faster, how to control the flow of our Streamlit apps, and how to debug our Streamlit apps using st.write(). That’s it for this chapter. Next, we’ll move on to data visualization!
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