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
5 1 Session State Explained

1 Session State Explained

Key Concepts

Explanation

1. Session State

Session state in Streamlit is a mechanism to store and manage user-specific data across multiple interactions within a single session. This allows the app to remember the state of widgets and other elements between reruns.

2. st.session_state

st.session_state is a Streamlit object that provides access to the session state. You can use this object to store and retrieve data that needs to persist across reruns of the app.

3. State Persistence

State persistence refers to the ability of the session state to maintain its values across reruns of the Streamlit app. This is crucial for creating interactive apps where user inputs and other data need to be preserved.

4. User Interaction

Session state helps in managing user interactions by allowing the app to remember the state of widgets and other elements. This makes the app more responsive and user-friendly.

Examples

Example 1: Basic Session State

import streamlit as st

if 'counter' not in st.session_state:
    st.session_state.counter = 0

increment = st.button('Increment')
if increment:
    st.session_state.counter += 1

st.write('Counter:', st.session_state.counter)
    

Example 2: Session State with Multiple Widgets

import streamlit as st

if 'name' not in st.session_state:
    st.session_state.name = ''

if 'age' not in st.session_state:
    st.session_state.age = 0

st.text_input('Enter your name', key='name')
st.number_input('Enter your age', key='age')

st.write('Name:', st.session_state.name)
st.write('Age:', st.session_state.age)
    

Analogies

Think of session state as a sticky note that you use to remember important information during a meeting. Each time you come back to the meeting, the sticky note still has the information you wrote down, allowing you to pick up where you left off. Similarly, session state in Streamlit allows the app to remember user interactions and data across reruns.

By mastering session state in Streamlit, you can create more interactive and user-friendly applications that provide a seamless experience for users.