Does it support LaTeX for documentation?

Yes, it includes capabilities to convert any symbolic expression into LaTeX format for use in research papers, reports, or Jupyter Notebooks.

Can this skill solve differential equations?

Yes, the SymPy skill provides guidance on using dsolve for ordinary differential equations and handles both linear and non-linear systems.

How do I convert symbolic math to fast Python code?

The skill utilizes the 'lambdify' pattern, which converts SymPy expressions into highly efficient functions compatible with NumPy or SciPy for numerical evaluation.

What is the benefit of using SymPy over NumPy in Claude Code?

SymPy performs symbolic computation, allowing for exact results (like keeping 1/3 as a fraction), whereas NumPy uses numerical approximations which can lead to rounding errors in complex math.

SymPy Symbolic Math

Name: SymPy Symbolic Math
Author: pur3v4d3r

bypur3v4d3r

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データサイエンスとML

Performs exact symbolic mathematical computations including algebra, calculus, and physics modeling directly in Python.

概要

This skill integrates the SymPy library into Claude's workflow, enabling precise symbolic math operations that avoid numerical approximation errors. It provides a comprehensive framework for solving complex algebraic equations, performing advanced calculus (derivatives, integrals, limits), and manipulating matrices symbolically. Ideal for researchers, engineers, and developers, it facilitates everything from basic simplification to advanced physics simulations and the conversion of mathematical formulas into executable code for production environments.

主な機能

Symbolic algebra and automatic expression simplification
Physics-specific modules for classical and quantum mechanics
1 GitHub stars
Symbolic linear algebra and matrix manipulation
Code generation for converting expressions to NumPy, C, or Fortran
Comprehensive calculus operations including derivatives, integrals, and limits

ユースケース

Solving and verifying complex algebraic or differential equations with exact results
Deriving and documenting mathematical formulas with LaTeX output support
Building high-performance numerical functions from symbolic mathematical models

概要

主な機能

Symbolic algebra and automatic expression simplification
Physics-specific modules for classical and quantum mechanics
1 GitHub stars
Symbolic linear algebra and matrix manipulation
Code generation for converting expressions to NumPy, C, or Fortran
Comprehensive calculus operations including derivatives, integrals, and limits

ユースケース

Solving and verifying complex algebraic or differential equations with exact results
Deriving and documenting mathematical formulas with LaTeX output support
Building high-performance numerical functions from symbolic mathematical models