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
Creating Your First Streamlit App

Creating Your First Streamlit App

Key Concepts

To create your first Streamlit app, you need to understand the following key concepts:

Streamlit Basics

Streamlit is an open-source app framework that allows you to create web applications for data science and machine learning in Python. It simplifies the process of creating interactive web apps by allowing you to write Python scripts that automatically generate web interfaces.

Installation

Before you can create a Streamlit app, you need to install the Streamlit library. You can do this using pip, the Python package installer. Run the following command in your terminal:

        pip install streamlit
    

Basic Structure

A basic Streamlit app consists of a Python script that imports the Streamlit library and uses its functions to create the app's interface. Here is a simple example:

        import streamlit as st

        st.title("My First Streamlit App")
        st.write("Hello, World!")
    

In this example, st.title sets the title of the app, and st.write displays the text "Hello, World!" on the app's interface.

Running the App

Once you have written your Streamlit app, you can run it using the Streamlit command-line interface. Navigate to the directory where your script is located and run the following command:

        streamlit run your_script.py
    

This command will start a local web server and open your app in a new browser tab.

Example: Creating a Simple Calculator

Let's create a simple calculator app using Streamlit. This app will take two numbers as input and display their sum.

        import streamlit as st

        st.title("Simple Calculator")

        num1 = st.number_input("Enter the first number")
        num2 = st.number_input("Enter the second number")

        result = num1 + num2

        st.write("The sum is:", result)
    

In this example, st.number_input is used to get numeric input from the user, and st.write is used to display the result.

Conclusion

Creating your first Streamlit app is a straightforward process. By understanding the basics of Streamlit, installing the necessary libraries, and structuring your app correctly, you can quickly build and run your first interactive web application.