[SciPy-user] Any Books on SciPy?
Wed Feb 28 12:45:14 CST 2007
What's really is needed are Examples, examples, and
examples. The book is light on that (no offense).
Some defintions of functions or methods leaves me
scratching my head asking, "How is that done in the
--- Perry Greenfield <firstname.lastname@example.org> wrote:
> I see it as suitable for a certain class of new
> users (i.e, those
> that are more task oriented and looking to see what
> they can
> accomplish interactively without having to learn a
> lot of preliminary
> material. But it certainly isn't suitable for all.
> I was talking to Travis about the need for some sort
> of lightweight
> intro to numpy. His book is a great technical
> reference, and very
> suitable for developers. But I worry that it is a
> bit intimidating
> for new users. So I raised the possibility of
> writing some sort of
> introduction that did the basics but pointed to the
> book for details
> for more advanced topics. Travis was ok with that (I
> didn't want to
> instigate anything that would cut into book sales).
> I was thinking of
> perhaps taking the old Numeric/numarray user guides
> and stripping
> them down and modifying that base document after I
> finish with the
> interactive tutorial (if I have time of course).
> With having to
> switch our staff over to numpy (we've pretty much
> converting most of our distributed software; our
> next release in
> early summer will be numpy-based) I think we need
> something that
> isn't too long to read. If others want to take this
> on, I welcome it
> (and as I said, I don't think Travis objects based
> on what he told me).
-- Lou Pecora, my views are my own.
Three laws of thermodynamics:
First law: "You can't win."
Second law: "You can't break even."
Third law: "You can't quit."
-- Allen Ginsberg, beat poet
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