sympy

Name: sympy
Rating: 5 (1 reviews)
Author: LeoLin990405

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable cod

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Actualizado hace 26 días

Ver en GitHub ↗Licencia: MIT

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#python #ai

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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.

When to Use This Skill

Use this skill when:

Solving equations symbolically (algebraic, differential, systems of equa

[Description truncada. Veja o README completo no GitHub.]

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