I just created a tutorial on building data apps in Python with Streamlit. In many ways, this is the resource I wish I had when I started working with Streamlit two years ago. You can take it for free here!
The tutorial is in a github repo. All the instructions are in the repo’s README file. You can go through the course at your own pace. I expect that most people will finish the course within a few hours.
Demo App
The first milestone in the course is running a demo app that is already in the repo. This app lets you select a state. It then creates a graph that shows how that state’s population has changed over time. The app also displays a dataframe with data on all the states:
Exercises
The core of the tutorial are 4 exercises to improve the app. These exercises cover the most common tasks I do when working with Streamlit:
- Create another graph.
- Create another select box.
- Use the value from the select boxes to determine which graph to show.
- Separate the two visualizations (graph and table) using tabs.
Below is a screenshot of the final app you will create. Note that users can now select which demographic to view. And the table which shows all the data is on a separate tab:
Deployment
Finally, the tutorial walks you through deploying the app to the web. This is also free, and allows your friends and family to see the app you created.
