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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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## [Sums, products, differences](https://numpy.org/doc/stable/reference/routines.math.html#sums-products-differences)
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|[prod](https://numpy.org/doc/stable/reference/generated/numpy.prod.html#numpy.prod)(a[, axis, dtype, out, keepdims, ...]) |Return the product of array elements over a given axis.|
|[sum](https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum)(a[, axis, dtype, out, keepdims, ...])|Sum of array elements over a given axis.|
|[nanprod](https://numpy.org/doc/stable/reference/generated/numpy.nanprod.html#numpy.nanprod)(a[, axis, dtype, out, keepdims, ...])|Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.|
|[nansum](https://numpy.org/doc/stable/reference/generated/numpy.nansum.html#numpy.nansum)(a[, axis, dtype, out, keepdims, ...])|Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.|
|[cumprod](https://numpy.org/doc/stable/reference/generated/numpy.cumprod.html#numpy.cumprod)(a[, axis, dtype, out])|Return the cumulative product of elements along a given axis.|
|[cumsum](https://numpy.org/doc/stable/reference/generated/numpy.cumsum.html#numpy.cumsum)(a[, axis, dtype, out])|Return the cumulative sum of the elements along a given axis.|
|[nancumprod](https://numpy.org/doc/stable/reference/generated/numpy.nancumprod.html#numpy.nancumprod)(a[, axis, dtype, out])|Return the cumulative product of array elements over a given axis treating Not a Numbers (NaNs) as one.|
|[nancumsum](https://numpy.org/doc/stable/reference/generated/numpy.nancumsum.html#numpy.nancumsum)(a[, axis, dtype, out])|Return the cumulative sum of array elements over a given axis treating Not a Numbers (NaNs) as zero.|
|[diff](https://numpy.org/doc/stable/reference/generated/numpy.diff.html#numpy.diff)(a[, n, axis, prepend, append])|Calculate the n-th discrete difference along the given axis.|
|[cross](https://numpy.org/doc/stable/reference/generated/numpy.cross.html#numpy.cross)(a, b[, axisa, axisb, axisc, axis])|Return the cross product of two (arrays of) vectors.|