ncpy

ncpy Numerical Computing in Python.

ncpy is a compact, educational Python library that implements common numerical methods for quick prototyping and expermentations.
Built on NumPy and (optionally) SciPy, it offers easy-to-use functions for:

• Root finding
• Interpolation
• Curve fitting / Approximation
• Numerical integration
• Numerical differentiation
• Solving linear systems
• Best Approximations

Why use ncpy?

✅ One package, many methods : no need to import multiple libraries
✅ Lightweight & beginner-friendly : great for teaching & learning numerical methods
✅ Educational : functions are implemented clearly for understanding algorithms
✅ Fast enough : powered by NumPy for efficiency

✨ Features Overview

Examples

• Root finding - Newton Raphson

from ncpy import newton_raphson

f = lambda x: x**2 - 2
df = lambda x: 2*x

root = newton_raphson(f, df, x0=1.0)
print("Root:", root)  # ~1.4142

• Interpolation — Lagrange

from ncpy import lagrange_interpolation

x_points = [0, 1, 2]
y_points = [1, 3, 2]
print(lagrange_interpolation(x_points, y_points, 1.5))

• Numerical Integration — Simpson's 1/3 Rule

from ncpy import simpson13
import math

area = simpson13(math.sin, 0, math.pi, n=100)
print(area)  # ~2.0

📦 Installation

pip install ncpy

📍 Visitors

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