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
3.1 Interactive Widgets Explained

Interactive Widgets Explained

Key Concepts

Interactive Widgets

Interactive widgets in Streamlit are components that enable users to interact with the application. These widgets include buttons, sliders, text inputs, and more. They allow users to provide input, which can then be processed and displayed dynamically.

Dynamic Updates

Dynamic updates refer to the real-time changes that occur in the application as a result of user interactions. For example, when a user selects an option from a dropdown menu, the application can immediately display relevant information based on that selection.

State Management

State management involves tracking and managing the current state of widgets. This ensures that the application behaves consistently and predictably. For instance, if a user checks a checkbox, the application should remember this state even if other parts of the application are updated.

Examples

Example 1: Button Widget

import streamlit as st

if st.button("Click me"):
    st.write("Button was clicked!")
    

Example 2: Slider Widget

import streamlit as st

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

Example 3: Text Input Widget

import streamlit as st

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

Analogies

Think of interactive widgets as the controls on a dashboard. Just as you can adjust the temperature or change the radio station on a car dashboard, users can interact with widgets to modify the content and behavior of a Streamlit application. Dynamic updates are like the immediate feedback you get when you turn a knob or press a button, and state management ensures that the dashboard remembers your settings even if you switch between different screens.

By mastering interactive widgets, you can create engaging and responsive Streamlit applications that provide a seamless user experience.