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
2 1 2 Formatting Text in Streamlit

1 2 Formatting Text in Streamlit

Key Concepts

Text Elements

In Streamlit, you can display text using various functions such as st.write, st.markdown, and st.text. Each function serves a different purpose:

Styling Text

Streamlit allows you to style text using Markdown syntax within the st.markdown function. You can apply styles such as bold, italic, and headings:

        import streamlit as st

        st.markdown("**Bold Text**")
        st.markdown("_Italic Text_")
        st.markdown("# Heading 1")
        st.markdown("## Heading 2")
    

Interactive Text

Streamlit provides interactive widgets that can be used to create dynamic text elements. For example, you can use a slider to change the text displayed:

        import streamlit as st

        value = st.slider("Select a value", 0, 100)
        st.write(f"The selected value is {value}")
    

Examples

Here are some examples to illustrate the concepts:

        import streamlit as st

        st.title("Text Formatting in Streamlit")

        st.markdown("## Basic Text Elements")
        st.write("This is a simple text using st.write.")
        st.markdown("**Bold Text** and _Italic Text_ using st.markdown.")
        st.text("Plain text using st.text.")

        st.markdown("## Interactive Text")
        name = st.text_input("Enter your name")
        st.write(f"Hello, {name}!")
    

By mastering these concepts, you can effectively format and display text in your Streamlit applications, making them more engaging and informative.