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
7 1 Writing Clean and Maintainable Code Explained

1 Writing Clean and Maintainable Code Explained

Key Concepts

Code Readability

Code readability is crucial for maintaining and debugging code. It involves using proper indentation, spacing, and clear syntax to make the code easy to understand.

def calculate_sum(a, b):
    return a + b
    

Modularization

Modularization involves breaking down code into smaller, reusable modules. This makes the code easier to manage, test, and reuse.

def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

def calculate(operation, a, b):
    if operation == "add":
        return add(a, b)
    elif operation == "subtract":
        return subtract(a, b)
    

Documentation

Documentation provides clear and concise explanations of code functionality. It helps others understand how the code works and how to use it.

def calculate_sum(a, b):
    """
    Calculate the sum of two numbers.
    
    Parameters:
    a (int): The first number.
    b (int): The second number.
    
    Returns:
    int: The sum of the two numbers.
    """
    return a + b
    

Consistent Naming Conventions

Using meaningful and consistent names for variables, functions, and classes makes the code easier to understand and maintain.

def calculate_area_of_circle(radius):
    PI = 3.14159
    return PI * radius ** 2
    

Error Handling

Error handling involves implementing mechanisms to manage and recover from errors. This ensures that the application can handle unexpected situations gracefully.

def divide(a, b):
    try:
        return a / b
    except ZeroDivisionError:
        return "Cannot divide by zero"
    

Analogies

Think of writing clean and maintainable code as building a house. Code readability is like using clear and easy-to-follow blueprints. Modularization is like building separate rooms that can be easily rearranged. Documentation is like having a user manual that explains how everything works. Consistent naming conventions are like labeling everything clearly. Error handling is like having a safety plan for emergencies.

By mastering these concepts, you can write code that is not only functional but also easy to understand, maintain, and extend.