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sympy-symbolic-math

Symbolic mathematics in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, differential equations, code generation (lambdify, C/Fortran). Use when exact symbolic results are needed, not numerical approximations. For numerical computing use numpy/scipy; for statistical modeling use statsmodels.

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更新於 2/18/2026
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quick start

Installation and usage

Symbolic mathematics in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, differential equations, code generation (lambdify, C/Fortran). Use when exact symbolic results are needed, not numerical approximations. For numerical computing use numpy/scipy; for statistical modeling use statsmodels.

安裝
$ install --globalskills.sh
使用

安裝後,您可以透過在終端機執行以下指令來使用此技能:

skills use sympy-symbolic-math