API Reference¶

Welcome to the API documentation for the Ultimate MkDocs Material Guide project. This section provides comprehensive documentation for all modules, classes, and functions in the codebase.

Overview¶

The project is organized into the following modules:

Core API Documentation¶

Example Module - Core example implementations and demonstrations
Base Classes - Foundation classes and abstract interfaces
Calculator - Mathematical operations and calculations
Utilities - Helper functions and common utilities

Docstring Style Examples¶

Google-Style Documentation - Modern, readable format popular in open-source projects
NumPy-Style Documentation - Structured format ideal for scientific computing
Sphinx-Style Documentation - Traditional format with rich reStructuredText markup
Style Comparison - Side-by-side comparison of all three docstring styles

Core Components¶

Component	Description	Key Classes
Base	Abstract base class for examples	`BaseExample`
Calculator	Mathematical operations	`Calculator`
Utils	Utility functions	`format_number`, `validate_input`

Common Use Cases¶

Getting Started: See Example Module for basic usage patterns
Mathematical Operations: Use the Calculator class
Input Validation: Leverage utility functions
Custom Examples: Extend BaseExample

Installation and Setup¶

To use these modules in your own projects:

# Import core components
from src.example.base import BaseExample
from src.example.calculator import Calculator
from src.example.utils import format_number, validate_input

# Create calculator instance
calc = Calculator()

# Validate and format numbers
number = validate_input("42")
formatted = format_number(number)

Configuration¶

The modules support various configuration options. See individual module documentation for specific configuration details:

Examples and Tutorials¶

For practical examples and step-by-step tutorials:

Code Samples - Working examples using the API
Jupyter Notebooks - Interactive demonstrations
Best Practices - Recommended usage patterns

Error Handling¶

All modules implement consistent error handling patterns. Common exceptions include:

ValueError - Invalid input parameters
TypeError - Incorrect data types
CalculationError - Mathematical operation failures

See individual module documentation for specific error handling details.

Contributing¶

When extending or modifying the API:

Follow the established patterns in BaseExample
Add comprehensive docstrings in Google format
Include type hints for all parameters and return values
Write tests for new functionality
Update this documentation

For more details, see our Contributing Guide.

MkDocstrings Configuration - How this documentation is generated
Features Overview - All available features
Getting Started - Project setup and basics