`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy.st..." />`); SciPySciPy Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitter Installing User Guide API reference Building from source Development Release notes GitHubGitHub TwitterTwitterSection Navigationscipyscipy.clusterscipy.constantsscipy.datasetsscipy.differentiatescipy.fftscipy.fftpackscipy.integratescipy.interpolatescipy.ioscipy.linalgscipy.ndimagescipy.odrscipy.optimizescipy.signalscipy.sparsescipy.spatialscipy.specialscipy.st..." /> Finite Difference Differentiation (scipy.differentiate) — SciPy v1.15.3 Manual
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Finite Difference Differentiation (scipy.differentiate)#

SciPy differentiate provides functions for performing finite difference numerical differentiation of black-box functions.

derivative(f, x, *[, args, tolerances, ...])

Evaluate the derivative of a elementwise, real scalar function numerically.

jacobian(f, x, *[, tolerances, maxiter, ...])

Evaluate the Jacobian of a function numerically.

hessian(f, x, *[, tolerances, maxiter, ...])

Evaluate the Hessian of a function numerically.