nanyang-system-developers

Software Packaging

Overview

Packaging involves preparing code for distribution and reuse. Good packaging makes it easier to share code, manage dependencies, and maintain version control.

Python Packaging

Purpose

• Makes code reusable across projects
• Enables easy distribution via package managers (pip)
• Manages dependencies automatically
• Provides version control for releases

Basic Structure

my_package/
├── __init__.py
├── module1.py
├── module2.py
├── setup.py
└── README.md

Key Files

• __init__.py: Marks directory as Python package
• setup.py: Package metadata and dependencies
• README.md: Usage documentation
• Source files: Your actual code

Best Practices

• Use descriptive package names
• Include clear documentation
• Follow semantic versioning
• List all dependencies
• Add type hints and docstrings

General Principles

• Separation of Concerns: Divide functionality into logical modules
• Encapsulation: Hide implementation details
• Reusability: Design components for reuse
• Maintainability: Make updates and fixes easy

Implementation Steps

1. Organize code into modules
2. Create package structure
3. Write setup configuration
4. Test package installation
5. Document usage and API

Further Reading

• Python Packaging User Guide
• Python Package Index