sympy-computer-algebra

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Symbolic computation using SymPy for Python-based mathematical analysis

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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