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
Setting Up the Environment

Setting Up the Environment

Before diving into the world of Streamlit, it's crucial to set up your development environment. This involves installing Python, setting up a virtual environment, and installing Streamlit. Let's break down each step:

1. Installing Python

Python is the backbone of Streamlit. To get started, you need to have Python installed on your machine. You can download the latest version of Python from the official website (python.org). Follow the installation instructions for your operating system.

2. Setting Up a Virtual Environment

A virtual environment is like a sandbox where you can install packages and dependencies without affecting your global Python installation. This is particularly useful when working on multiple projects with different dependencies.

To create a virtual environment, open your terminal or command prompt and run the following commands:

        python -m venv myenv
        source myenv/bin/activate  # On Windows, use myenv\Scripts\activate
    

Once activated, your terminal prompt will change to indicate that you are now working within the virtual environment.

3. Installing Streamlit

With your virtual environment activated, you can now install Streamlit. Streamlit is a Python package, so you can install it using pip, the Python package installer. Run the following command:

        pip install streamlit
    

After installation, you can verify that Streamlit is correctly installed by running:

        streamlit hello
    

This command will open a new browser window with a Streamlit demo app, confirming that your installation was successful.

4. Creating Your First Streamlit App

Now that your environment is set up, you can create your first Streamlit app. Start by creating a new Python file, for example, app.py, and add the following code:

        import streamlit as st

        st.title("Hello, Streamlit!")
        st.write("Welcome to your first Streamlit app.")
    

To run your app, use the following command in your terminal:

        streamlit run app.py
    

This will start a local web server and open your app in a new browser tab. Congratulations, you've just created your first Streamlit app!

By following these steps, you've successfully set up your environment for developing Streamlit applications. This foundational setup will allow you to explore and master Streamlit more effectively.