John Hunter wrote:
[...]
> As for your specific points:
> 
>   * inside matplotlib we should just use numpy everywhere.  We need to
> agree on some import convention.  I'm happy with 'import numpy as nx'
> though this might be confusing for a while since people might confuse
> it with the numerix layer.  I like nx because numpy is too long, and N
> occurs too frequently in regular code.  I don't like capital
> letters.... I could see ns too, since that is what we have been using
> for the numpy extensions when numpy was originally discussed in the
> context of the scipy core.

ns is not very mnemonic, and I think we should avoid the confusion 
between nx as numerix and nx as numpy, so I suggest "np" for numpy.  It 
is mnemonic, and it will make it easier to keep track of the conversion 
process.  An alternative would be "nu".

> 
>   * I suppose we should deprecate it for a release, but I'm inclined
> just to push the thing through quickly because it is a big change and
> if and when we have energy for it we should just get it done.  I'm
> also happy to have some sense talked into me.  I suppose one
I won't be the one to talk sense into you!  This change is going to take 
a some time, and I would like to be able to get started on it.  It 
doesn't have to be done all at once.
> possibility is to deprecate it *now* and push out 0.91 ASAP and then
> immediately pull the old support out.  I'll post on user's list to get
If you want to make one more release, I would like to have a few days 
notice to see if I can clear up at least one thing, and maybe a couple more.
> a sense of how many people both need the latest mpl and the older
> array packages.  I can't imagine there are too many...  I'm sure some
> people need Numeric or numarray, but if they are that curmudgeonly,
> surely they can live on the older mpl branch.

[...]

Eric

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