numpy-polynomial

What problem does it solve?

This Skill provides a modern, robust way to work with polynomials in Python, addressing limitations of older methods for tasks like data fitting and root finding.

Core Features & Use Cases

• Curve Fitting: Fit polynomials to noisy data using a stable, domain-scaled approach.
• Root Finding: Accurately determine the roots (zeros) of polynomial equations.
• Orthogonal Series: Work with advanced series like Chebyshev and Legendre for high-precision approximation.
• Use Case: Fit a smooth curve to experimental data points and then find the x-values where the curve crosses the x-axis.

Quick Start

Use the numpy-polynomial skill to fit a 3rd-degree polynomial to the provided x and y data points.