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Scipy optimization toolkit

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/scipy-optimization-toolkit

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Install
npx -y skills add a5c-ai/babysitter --skill scipy-optimization-toolkit

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SciPy scientific computing skill for numerical optimization, integration, and signal processing in physics

SKILL.md

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SciPy Optimization Toolkit

Purpose

Provides expert guidance on SciPy for scientific computing in physics, including optimization, integration, and signal processing.

Capabilities

  • Nonlinear least squares fitting
  • Global optimization methods
  • Numerical integration (quadrature)
  • ODE/PDE solvers
  • Signal processing (FFT, filtering)
  • Sparse matrix operations

Usage Guidelines

  1. Optimization: Use appropriate optimizer for the problem type
  2. Fitting: Apply nonlinear least squares for data fitting
  3. Integration: Choose proper quadrature methods
  4. ODEs: Solve differential equations with adaptive solvers
  5. Signal Processing: Apply FFT and filtering techniques

Tools/Libraries

  • SciPy
  • NumPy
  • lmfit

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