SymPy Computer Algebra
SkillDev toolsSymbolic computation using SymPy for Python-based mathematical analysis
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/sympy-computer-algebra/SKILL.md and read by Ahel’s review.
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
- Symbol Definition: Define symbols with appropriate assumptions
- Expression Building: Construct symbolic expressions
- Simplification: Apply appropriate simplification strategies
- Code Generation: Export to efficient numerical code
Tools/Libraries
- SymPy
- NumPy
- mpmath
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
sympy-computer-algebra- Source
- github.com/a5c-ai/babysitter