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<DIV><FONT color=#000080 face="Gill Sans MT">Yannick</FONT></DIV>
<DIV><FONT color=#000080 face="Gill Sans MT">Sounds great. Would
cross-post on the Scipy list as that is where the scipy.sparse developers hang
out.</FONT></DIV>
<DIV><FONT color=#000080 face="Gill Sans MT">Dinesh</FONT></DIV>
<DIV> </DIV>
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<DIV><BR></DIV>
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<DIV style="font-color: black"><B>From:</B> <A
title="mailto:yversley@gmail.com
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href="mailto:yversley@gmail.com">Yannick Versley</A> </DIV>
<DIV><B>Sent:</B> Tuesday, September 20, 2011 8:33 AM</DIV>
<DIV><B>To:</B> <A
title="mailto:numpy-discussion@scipy.org
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href="mailto:numpy-discussion@scipy.org">Discussion of Numerical Python</A>
</DIV>
<DIV><B>Subject:</B> Re: [Numpy-discussion] sparse vectors / matrices /
tensors</DIV></DIV></DIV>
<DIV><BR></DIV>
<DIV class=gmail_quote>
<BLOCKQUOTE
style="BORDER-LEFT: #ccc 1px solid; MARGIN: 0px 0px 0px 0.8ex; PADDING-LEFT: 1ex"
class=gmail_quote>This question seems like it's more relevant to the scipy
mailing list,<BR>since scipy has scipy.sparse.<BR></BLOCKQUOTE>
<DIV>My point was that the current situation (i.e., people reinventing the
wheel)</DIV>
<DIV>was a by-product of the fact that there's nothing as standardized
as</DIV>
<DIV>numpy's ndarray or Python's buffer interface, if only for the</DIV>
<DIV>simple reason that most people only ever work with dense
matrices.</DIV>
<DIV><BR></DIV>
<DIV>(scipy.sparse uses several different data structures that are all
limited</DIV>
<DIV>to two axes, and have no common low-level interface).</DIV>
<DIV><BR></DIV>
<DIV>I'll be happy to ask on the scipy list, if that's where the discussion
should be.</DIV>
<DIV><BR></DIV>
<DIV>Yannick</DIV></DIV></BODY></HTML>