HermiteE.has_samewindow()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

HermiteE.has_samewindow(other)

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numpy.polynomial.laguerre.lagone
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagone = array([1])

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numpy.random.exponential()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.exponential(scale=1.0, size=None) Draw samples from an exponential distribution. Its probability

2025-01-10 15:47:30
numpy.polynomial.chebyshev.chebx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebx = array([0, 1])

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generic.any()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.any() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

2025-01-10 15:47:30
numpy.polynomial.polynomial.polyx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyx = array([0, 1])

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Hermite.convert()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

Hermite.convert(domain=None, kind=None, window=None)

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matrix.cumprod()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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RandomState.bytes()
  • References/Python/NumPy/Routines/Random sampling

RandomState.bytes(length) Return random bytes.

2025-01-10 15:47:30
numpy.mat()
  • References/Python/NumPy/Routines/Array creation routines

numpy.mat(data, dtype=None)

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