This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

streamlit.tar.gz

Streamlit

This course will teach you how to develop web apps using the Streamlit library. With just a few lines of code, you can have your app up and running in no time.

We'll start off with learning about the various components of Streamlit, before finally building an app that you can deploy and have your users access.

Develop Web Apps with Streamlit

This enables you to give users the option to view additional material. This is similar to how we used the st.checkbox() in an if statement to show additional material.

df = pd.DataFrame({"Insect":["Lacewing", "Locust", "Ladybird", "Leafhopper"],
                   "Count": [3,5,1,2]})
st.dataframe(df)
with st.expander("Click to see examples of insects"):
    st.image("https://bit.ly/quartets3")

Streamlit Expander