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sympy-symbolic-math

Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). Use for exact symbolic results. For numerical use numpy/scipy; for stats use statsmodels.

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Ler descrição completa

SymPy — Symbolic Mathematics

Overview

SymPy is a Python library for symbolic mathematics that performs exact computation using mathematical symbols rather than numerical approximations. It covers algebra, calculus, equation solving, linear algebra, physics, and code generation — all within pure Python with no external dependencies.

When to Use

  • Solving equations symbolically (algebraic, systems, differential equations)
  • Performing calculus operations (derivatives, integrals, limits

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

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