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  • Python
  • NumPy
  • Routines
Routines:
  • Array creation routines
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  • Financial functions
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numpy.array_equal()
  • References/Python/NumPy/Routines/Logic functions

numpy.array_equal(a1, a2)

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

numpy.asarray(a, dtype=None, order=None)

2025-01-10 15:47:30
Datetime Support Functions
  • References/Python/NumPy/Routines

Business Day Functions

2025-01-10 15:47:30
Laguerre.deriv()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

Laguerre.deriv(m=1)

2025-01-10 15:47:30
numpy.common_type()
  • References/Python/NumPy/Routines/Data type routines

numpy.common_type(*arrays)

2025-01-10 15:47:30
ndarray.flat
  • References/Python/NumPy/Routines/Array manipulation routines

ndarray.flat A 1-D iterator over the array. This is a

2025-01-10 15:47:30
numpy.fft.fftfreq()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.fftfreq(n, d=1.0)

2025-01-10 15:47:30
numpy.i0()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.i0(x)

2025-01-10 15:47:30
numpy.rate()
  • References/Python/NumPy/Routines/Financial functions

numpy.rate(nper, pmt, pv, fv, when='end', guess=0.1, tol=1e-06, maxiter=100)

2025-01-10 15:47:30
numpy.fft.irfftn()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.irfftn(a, s=None, axes=None, norm=None)

2025-01-10 15:47:30

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