sympy

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using SymPy. Use this skill when: Creating symbols and expressions: Simplification and manipulation: For detailed basics: See references/core-capabilities.md Derivatives: Integrals: Limits and Series: For detailed calculus operations: See references/core-capabilities.md Algebraic equations: Systems of equations: Differential equations: For detailed solving methods: See references/core-capabilities.md Matrix creation and operations: Eigenvalues and eigenvectors: Solving linear systems: For comprehensive linear algebra: See references/matrices-linear-algebra.md Classical mechanics: Vector analysis: Quantum mechanics: For detailed physics capabilities: See references/physics-mechanics.md The skill includes comprehensive support for: For detailed advanced topics: See references/advanced-topics.md Convert to executable functions: Generate C/Fortran code: LaTeX output: For comprehensive code generation: See references/code-generation-printing.md Common assumptions: real , positive , negative , integer , rational , complex , even , odd This skill uses modular reference files for...