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numpy.mamodule - NumPy 1.11.0 Release Notes
...viously, gemm BLAS operations were used for all matrix products. Now, if the matrix product is between a matrix and its transpose, it will use syrk BLAS operations for a performance boost. This optimization has been extended to @, numpy.dot...
- NumPy 1.24 Release Notes
- NumPy 2.0.0 Release Notes
- numpy.ma.corrcoef
- numpy.ma.cov
- numpy.ma.is_mask
- numpy.ma.make_mask
- numpy.ma.make_mask_none
- numpy.ma.masked_array.mT
- numpy.ma.masked_array.nonzero
- numpy.ma.masked_array.strides
- numpy.ma.masked_array.T
- numpy.ma.masked_array.transpose
- numpy.ma.masked_array.view
- numpy.ma.MaskedArray.nonzero
- numpy.ma.MaskedArray.strides
- numpy.ma.MaskedArray.T
- numpy.ma.MaskedArray.transpose
- numpy.ma.MaskedArray.view
- numpy.ma.MaskType
- numpy.ma.MaskType.all
- numpy.ma.MaskType.any
- numpy.ma.MaskType.argmax
- numpy.ma.MaskType.argmin
- numpy.ma.MaskType.argsort
- numpy.ma.MaskType.astype
- numpy.ma.MaskType.base
- numpy.ma.MaskType.byteswap
- numpy.ma.MaskType.choose
- numpy.ma.MaskType.clip
- numpy.ma.MaskType.compress
- numpy.ma.MaskType.conj
- numpy.ma.MaskType.conjugate
- numpy.ma.MaskType.copy
- numpy.ma.MaskType.cumprod
- numpy.ma.MaskType.cumsum
- numpy.ma.MaskType.data
- numpy.ma.MaskType.device
- numpy.ma.MaskType.diagonal