数据与复现科研绘图与可视化K-Dense-AI/claude-scientific-skills数据与复现
SY

SymPy

维护者 K-Dense Inc. · 最近更新 2026年4月1日

SymPy是一个Python 库 ,用于 symbolic mathematics that enables exact computation ,使用 mathematical symbols rather than numerical approximations。 This skill provides comprehensive guidance ,用于 performing symbolic algebra,calculus,linear algebra,equation solving,physics calculations,、 code generation ,使用 SymPy。

Claude Code分析处理写作整理sympydata-analysispackagedata analysis & visualization

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/sympy

维护者
K-Dense Inc.
许可
https://github.com/sympy/sympy/blob/master/LICENSE
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • SymPy是一个Python 库 ,用于 symbolic mathematics that enables exact computation ,使用 mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance ,用于 performing symbolic algebra,calculus,linear algebra,equation solving,physics calculations,、 code generation ,使用 SymPy。
  • x = symbols('x',real=True,positive=True) n = symbols('n',integer=True) python ,面向 sympy import simplify,expand,factor,cancel simplify(sin(x)2 + cos(x)2) # Returns 1 expand((x + 1)3) # x3 + 3x2 + 3x + 1 factor(x*2 - 1) # (x - 1)(x + 1)。
  • 用于 detailed basics:See references/core-capabilities.md。

原始文档

SKILL.md 摘录

When to Use This Skill

Use this skill when:

  • Solving equations symbolically (algebraic, differential, systems of equations)
  • Performing calculus operations (derivatives, integrals, limits, series)
  • Manipulating and simplifying algebraic expressions
  • Working with matrices and linear algebra symbolically
  • Doing physics calculations (mechanics, quantum mechanics, vector analysis)
  • Number theory computations (primes, factorization, modular arithmetic)
  • Geometric calculations (2D/3D geometry, analytic geometry)
  • Converting mathematical expressions to executable code (Python, C, Fortran)
  • Generating LaTeX or other formatted mathematical output
  • Needing exact mathematical results (e.g., sqrt(2) not 1.414...)

1. Symbolic Computation Basics

Creating symbols and expressions:

from sympy import symbols, Symbol
x, y, z = symbols('x y z')
expr = x**2 + 2*x + 1

## 2. Calculus

**Derivatives:**

**Integrals:**

**Limits and Series:**

**For detailed calculus operations:** See `references/core-capabilities.md`

适用场景

  • Solving equations symbolically (algebraic,differential,systems of equations)。
  • Performing calculus operations (derivatives,integrals,limits,series)。
  • Manipulating 、 simplifying algebraic expressions。
  • Working ,支持 matrices 、 linear algebra symbolically。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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