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Babysitter sympy-computer-algebra

Symbolic computation using SymPy for Python-based mathematical analysis

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/mathematics/skills/sympy-computer-algebra" ~/.claude/skills/a5c-ai-babysitter-sympy-computer-algebra && rm -rf "$T"
manifest: library/specializations/domains/science/mathematics/skills/sympy-computer-algebra/SKILL.md
tags
#symbolic-math#equation-solving#differentiation#integration#algebra#code-generation
source content

SymPy Computer Algebra

Purpose

Provides symbolic computation capabilities using SymPy for Python-based mathematical analysis and manipulation.

Capabilities

  • Symbolic differentiation and integration
  • Equation solving (algebraic, differential)
  • Series expansion and limits
  • Matrix algebra and linear algebra
  • Pattern matching and simplification
  • Code generation (NumPy, C, Fortran)

Usage Guidelines

  1. Symbol Definition: Define symbols with appropriate assumptions
  2. Expression Building: Construct symbolic expressions
  3. Simplification: Apply appropriate simplification strategies
  4. Code Generation: Export to efficient numerical code

Tools/Libraries

  • SymPy
  • NumPy
  • mpmath