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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。
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
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)not1.414...)
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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