[Numpy-discussion] [ANN] NumPy 0.9.6 released
Fernando.Perez at colorado.edu
Tue Mar 14 13:41:02 CST 2006
Travis Oliphant wrote:
> This post is to announce the release of NumPy 0.9.6 which fixes some
> important bugs and has several speed improvments.
Just curious about the svd/singular... pair:
In : numpy.linalg.singular_value_decomposition??
Definition: numpy.linalg.singular_value_decomposition(A, full_matrices=0)
def singular_value_decomposition(A, full_matrices=0):
return svd(A, full_matrices)
In : numpy.linalg.svd?
Definition: numpy.linalg.svd(a, full_matrices=1)
Do we really need both spellings to be different just on the default of the
full_matrices flag? It seems to me like the kind of unnecessary
special-casing that just forces people to remember little details without a
clear benefit. If we want a long-spelling form, it would be cheaper to simply
alias the name with a module-level
singular_value_decomposition = svd
so the same /object/ is referred to via both names.
Perhaps I'm missing the blindingly obvious solid reason, but if this is just
historical accident, I'd vote for unifying the two simply as spelling
variants. I think the flipped default is more confusion-prone than beneficial.
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