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.
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.
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skills use sympy-symbolic-math