numpy.lib.stride_tricks#

Utilities that manipulate strides to achieve desirable effects.

An explanation of strides can be found in the The N-dimensional array (ndarray).

Functions

`as_strided`(x[,shape,strides,subok,...])	Create a view into the array with the given shape and strides.
`sliding_window_view`(x,window_shape[,axis,...])	Create a sliding window view into the array with the given window shape.

numpy.lib.scimath.sqrt

numpy.lib.stride_tricks.as_strided