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
Basic Components in Streamlit

Basic Components in Streamlit

Streamlit offers a variety of components that allow you to create interactive and dynamic web applications with minimal code. Two fundamental components are Text Elements and Input Widgets. Understanding these components is essential for building effective Streamlit apps.

1. Text Elements

Text elements in Streamlit are used to display text content in your application. They include functions like st.title(), st.header(), st.subheader(), and st.write(). These functions help in structuring the text content and making it more readable.

Examples:

        import streamlit as st

        st.title("Welcome to Streamlit")
        st.header("This is a header")
        st.subheader("This is a subheader")
        st.write("This is a general text element")
    

In this example, st.title() is used to display a large title, st.header() for a main heading, st.subheader() for a subheading, and st.write() for general text. These functions help in organizing the content and making it visually appealing.

2. Input Widgets

Input widgets in Streamlit allow users to interact with the application by providing input. Common widgets include st.text_input(), st.number_input(), st.checkbox(), and st.selectbox(). These widgets enable dynamic interaction and data collection from users.

Examples:

        import streamlit as st

        user_input = st.text_input("Enter your name")
        st.write(f"Hello, {user_input}!")

        age = st.number_input("Enter your age", min_value=0, max_value=120)
        st.write(f"You are {age} years old.")

        agree = st.checkbox("Do you agree?")
        if agree:
            st.write("You agreed!")
        else:
            st.write("You did not agree.")

        option = st.selectbox("Choose an option", ["Option 1", "Option 2", "Option 3"])
        st.write(f"You selected: {option}")
    

In this example, st.text_input() collects a user's name, st.number_input() collects their age, st.checkbox() records their agreement, and st.selectbox() allows them to choose from a list of options. These widgets make the application interactive and user-friendly.

By mastering these basic components, you can create engaging and functional Streamlit applications that effectively communicate information and gather user input.