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sympy

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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.

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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.

## 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](references/review.md) for coverage.
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