numpy style
Domain: Documentation
🎯 Motivation
numpy style uses underlined section headers like Parameters and Returns, making it visually distinct in plain text. It is the standard for scientific Python libraries like NumPy and SciPy.
📋 Concrete Example
def add(a, b):
"""
Add two numbers.
Parameters
----------
a : int
First number.
b : int
Second number.
Returns
-------
int
The sum.
"""🔗 Analogy
numpy style is like a lab report format with bold section headers and precise parameter descriptions, suited for scientific code where every detail matters.