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

You can add data to an existing chart in a similar manner

df1 = pd.DataFrame({"A": [94, 25, 70, 90, 26],
               "B": [17,  46,  59, 195, 126],
               "C": [96, 267, 214, 209,  31]})

df2 = pd.DataFrame({"A": [69, 42, 51],
               "B": [192, 136,  33],
               "C": [145, 263, 125]})

st.bar_chart(df1)
st.bar_chart(df2)
chart = st.bar_chart(df1)
chart.add_rows(df2)

First Things First

Introduction to Streamlit

Display Information with Streamlit

Display Interactive Widgets with Streamlit

Streamlit Layout

Mutate Data with Streamlit

Streamlit Miscallenous Items

Deploy Streamlit Apps

Mutate Chart Data with Streamlit