numpy.polynomial.chebyshev.chebone
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebone = array([1])

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numpy.log2()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.log2(x[, out]) = Base-2 logarithm of x.

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

numpy.random.noncentral_f(dfnum, dfden, nonc, size=None) Draw samples from the noncentral F distribution. Samples

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

numpy.random.rand(d0, d1, ..., dn) Random values in a given shape. Create an array of the given shape and populate

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numpy.polynomial.chebyshev.chebvander3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebvander3d(x, y, z, deg)

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numpy.polynomial.polynomial.polygrid2d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polygrid2d(x, y, c)

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Chebyshev.cast()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

classmethod Chebyshev.cast(series, domain=None, window=None)

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Numpy C Code Explanations
  • References/Python/NumPy/NumPy internals

Fanaticism consists of redoubling your efforts when you have forgotten your aim. ? George Santayana An authority is a person who can tell you more about something than you really

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dtype.type
  • References/Python/NumPy/Array objects/Data type objects

dtype.type The type object used to instantiate a scalar of this data-type.

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

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

2025-01-10 15:47:30