Streamlit, an open-source Python library, simplifies interactive data app development. Streamlit's user-friendly API, automated UI generation, interactive widgets, real-time updates, and versatile deployment options make it ideal for creating data ap
Streamlit is an open-source Python library that makes it easy to build interactive data apps. It is designed to be simple and user-friendly, so that even developers with little experience in web development can create professional-looking apps.
Streamlit has a number of features that make it well-suited for building data apps. These include:
Streamlit can be used to connect to a variety of databases, including MySQL, PostgreSQL, and SQLite. To connect to a database, you can use thest.database
module.st.database
module.
Once you have connected to a database, you can use thest.data
module to retrieve and visualize data from the database. Thest.data
module provides a variety of methods that you can use to query, filter, and sort data.
Yes, Streamlit can be used to create dashboards with real-time updates and user interactions. To create a dashboard, you can use thest.dashboard
module.
Thest.dashboard
module provides a variety of widgets that you can use to add functionality to your dashboard, such as charts, graphs, and tables. You can also use thest.session_state
st.data
module to retrieve and visualize data from the database. The
st.data
module provides a variety of methods that you can use to query, filter, and sort data.Can Streamlit be used to create dashboards with real-time updates and user interactions?Yes, Streamlit can be used to create dashboards with real-time updates and user interactions. To create a dashboard, you can use the
st.dashboard
module.The
st.dashboard
module provides a variety of widgets that you can use to add functionality to your dashboard, such as charts, graphs, and tables. You can also use the
st.session_state
module to store user-specific data, such as preferences and settings.
The above is the detailed content of streamlit tutorial. For more information, please follow other related articles on the PHP Chinese website!