This workshop is a preview of how to use streamlit to create and display interactive plots. We will also talk about the UW-Madison Carpentries Community and how you can attend or help with the workshops the community hosts.
This is a preview of the Interactive Data Visualizations in Python Lesson currently in the Carpentries Incubator
- Sign-in to GitHub or create an account.
- Click the
, recommend right clicking and choosing open in new tab so you have the directions below still in a tab.
- You will get screen asking if you want to continue with GitHub credentials. Click "Continue"
- You will get pop-up about authorizing Gitpod to connect with GitHub. Choose the "Authorize gitpod-io" option.
- Select editor option will pop up, choose VS Code - BROWSER option. Leave "Latest Release" unchecked and click green "Continue" button.
- On the left-hand side click the "Remote Explorer" option, looks like a computer monitor with a circle containing >< in the lower right of the icon.
- You should see the Port 8501 listed, click on it and choose either the middle icon for side-by-side display or the right one for opening it in a new tab.
- If you don't see Port 8501 listed, type
streamlit run app.pyin terminal window at the bottom of the page.