ncpy 0.1.4

A Python package for numerical computing, including root-finding, interpolation, integration, differentiation, and linear system solvers.

ncpy

ncpy — Numerical Computing in Python.

ncpy is a compact, educational Python library that implements common numerical methods for courses and quick prototyping.
It is built on top of NumPy and (optionally) SciPy, and provides easy-to-use functions for root finding, interpolation, approximation, integration, differentiation, and solving linear systems.

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✨ Features

• Root-finding: Bisection, Newton–Raphson, Secant, Fixed-point iteration
• Interpolation: Lagrange, Newton divided differences, Linear, Cubic spline, Neville’s method
• Approximation / Curve fitting: Polynomial least squares, Exponential fit, Logarithmic fit
• Numerical integration: Trapezoidal, Simpson 1/3, Simpson 3/8, Romberg, Gaussian quadrature
• Numerical differentiation: Forward, Backward, Central differences, Richardson extrapolation, Numerical gradient
• Linear systems: Gaussian elimination, Gauss–Jordan, LU decomposition, Jacobi, Gauss–Seidel, Conjugate Gradient

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Quick Example

from ncpy import roots

Example: Newton–Raphson method

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

root = roots.newton_raphson(f, df, x0=1.0) print("Root:", root)

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📦 Installation

pip install ncpy