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sympy

k-dense-ai/scie…t-skills

Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code generation. Use when a task needs symbolic results, explicit assumptions, or exact arithmetic; use NumPy or SciPy for purely numerical workloads.

  • 2056 次安装
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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill sympy

SKILL.md

SymPy - Symbolic Mathematics in Python

Overview

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.

Installation

Reviewed against current official documentation and executed with SymPy 1.14.0 on Python 3.13.3 (2026-10-01). Core SymPy requires Python 3.9+; the tested NumPy 2.5.3 / SciPy 1.18.1 stack needs Python 3.12+. SymPy 1.14.0 requires mpmath>=1.1,<1.4; use the compatible 1.3.0, not the newer 1.4.x release. See verification and official sources for coverage.

# Install SymPy using uv
uv pip install "sympy==1.14.0"

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