Streamlit
1 Introduction to Streamlit
1.1 What is Streamlit?
1.2 Why use Streamlit?
1.3 Setting up the environment
1.4 Creating your first Streamlit app
2 Basic Components
2.1 Text elements
2.1 1 Displaying text
2.1 2 Formatting text
2.2 Data display elements
2.2 1 Displaying data frames
2.2 2 Displaying tables
2.3 Input widgets
2.3 1 Text input
2.3 2 Number input
2.3 3 Date input
2.3 4 Dropdown selection
2.3 5 Slider
2.3 6 Checkbox
2.3 7 Radio buttons
2.3 8 Buttons
3 Advanced Components
3.1 Interactive widgets
3.1 1 Multiselect
3.1 2 File uploader
3.1 3 Color picker
3.2 Media elements
3.2 1 Displaying images
3.2 2 Displaying videos
3.2 3 Displaying audio
3.3 Chart elements
3.3 1 Line chart
3.3 2 Bar chart
3.3 3 Area chart
3.3 4 Scatter chart
3.3 5 Map chart
4 Layout and Styling
4.1 Layout components
4.1 1 Columns
4.1 2 Tabs
4.1 3 Expander
4.2 Styling elements
4.2 1 Custom CSS
4.2 2 Theming
4.2 3 Adding custom fonts
5 State Management
5.1 Session state
5.1 1 Managing state across reruns
5.1 2 Persisting state
5.2 Caching
5.2 1 Caching functions
5.2 2 Caching data
6 Deployment
6.1 Deploying to Streamlit Sharing
6.1 1 Setting up Streamlit Sharing
6.1 2 Deploying your app
6.2 Deploying to other platforms
6.2 1 Deploying to Heroku
6.2 2 Deploying to AWS
6.2 3 Deploying to Google Cloud
7 Best Practices
7.1 Writing clean and maintainable code
7.2 Optimizing performance
7.3 Handling errors and exceptions
7.4 Version control with Git
8 Advanced Topics
8.1 Integrating with other libraries
8.1 1 Integrating with Pandas
8.1 2 Integrating with Plotly
8.1 3 Integrating with TensorFlow
8.2 Building complex apps
8.2 1 Creating multi-page apps
8.2 2 Handling authentication
8.2 3 Building interactive dashboards
8.3 Custom components
8.3 1 Creating custom widgets
8.3 2 Extending Streamlit with custom components
9 Case Studies
9.1 Building a data exploration app
9.2 Building a machine learning model deployment app
9.3 Building a real-time data visualization app
4 1 2 Tabs Explained

1 2 Tabs Explained

Key Concepts

Explanation

1. Tabs

Tabs are a common UI element used to organize content into separate sections. Each tab represents a different section, and users can switch between these sections by clicking on the corresponding tab.

2. st.tabs

st.tabs is a Streamlit function that allows you to create and manage tabs in your application. This function takes a list of tab names and returns a list of tab objects that you can use to display content.

3. Tab Content

Tab content refers to the information or elements displayed within each tab. This can include text, charts, images, or any other Streamlit components. The content of each tab is defined using the tab objects returned by st.tabs.

4. Tab Navigation

Tab navigation is the process of switching between different tabs. In Streamlit, users can navigate between tabs by clicking on the tab headers. The content of the selected tab is displayed, while the content of other tabs is hidden.

Examples

Example 1: Basic Tabs

import streamlit as st

tabs = st.tabs(["Tab 1", "Tab 2", "Tab 3"])

with tabs[0]:
    st.write("This is content for Tab 1.")

with tabs[1]:
    st.write("This is content for Tab 2.")

with tabs[2]:
    st.write("This is content for Tab 3.")
    

Example 2: Tabs with Different Content

import streamlit as st

tabs = st.tabs(["Home", "About", "Contact"])

with tabs[0]:
    st.write("Welcome to the Home page.")

with tabs[1]:
    st.write("Learn more about us on the About page.")

with tabs[2]:
    st.write("Contact us using the information on the Contact page.")
    

Analogies

Think of tabs as folders in a filing cabinet. Each folder contains different documents, and you can switch between folders to access different sets of documents. Similarly, tabs in Streamlit allow you to switch between different sections of content within the same application.

By mastering the use of tabs in Streamlit, you can create organized and user-friendly applications that make it easy for users to navigate and find the information they need.