App design concepts and considerations
Best practices for building Streamlit apps
Follow recommended patterns for styling, layout, widgets, navigation, state, security, and type checking.
Build advanced dashboards
Build fast, interactive dashboards over large data with lazy-loading tables, background cache refresh, partial reruns, cross-filtering, and shareable views. Learn how to move Power BI and Tableau dashboards to Streamlit and modernize them on the way.
Edit and write back data
Build apps that act: review and approval queues, sign-offs, and planning input with editable tables, forms, validation, and writeback.
Using layouts and containers
Arrange and organize elements with columns, tabs, expanders, flex layouts, and dynamic containers.
Update and replace elements
Understand how Streamlit commands return objects you can use to update, replace, or clear elements in place.
Button behavior and examples
Understand how buttons work with explanations and examples to avoid common mistakes.
Dataframes
Dataframes are a great way to display and edit data in a tabular format. Understand the UI and options available in Streamlit.
Choosing and using charts
Pick the right chart command, keep charts consistent, use chart selections, and chart large datasets.
Optimizing app performance
Make your app fast and responsive with caching, fragments, forms, render order, and loading states.
Using custom Python classes in your Streamlit app
Understand the impact of defining your own Python classes within Streamlit's rerun model.
Multithreading
Understand how to use multithreading within Streamlit apps.
Working with timezones
Understand how to localize time to your users.
Still have questions?
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