Hey all. First post - w00t!
Realistically I'm unlikely to use P3K in production code until it comes as
part of a redhat
distro. Not doubt it will be in redhat ES12 sometime around 2020 :) I had a
fair amount of
pain installing python 2.5/mod_python on a bunch of 64-bit RHES4 machines
recently.
Don't fancy going through it again unless I really have to.

Karl

On Fri, Dec 5, 2008 at 2:51 PM, Michael Twomey <[EMAIL PROTECTED]> wrote:

>
> Even 2.6 is going to be a "bit new" for a while. For example numpy
> won't build with it at all until the next release (1.3).
>
> mick
>
> On Fri, Dec 5, 2008 at 10:01, Daniel Kersten <[EMAIL PROTECTED]> wrote:
> >
> > I had thought of that right after I sent the email - obviously I can't
> > switch until all the libraries I use are supported (so pygtk,
> > matplotlib, numpy and scipy at a minimum).
> >
> > 2008/12/5 David Wilson <[EMAIL PROTECTED]>:
> >>
> >> 2008/12/4 Daniel Kersten <[EMAIL PROTECTED]>:
> >>>
> >>> Has anyone used it yet? Whats it like? Who's planning on moving from
> 2.x?
> >>>
> >>
> >> It's unlikely that it will see much uptake for the coming months if
> >> not years, and probably not by many companies until they are forced to
> >> (i.e. 2.x is no longer getting maintained).
> >>
> >>> I'm about to start writing some Python code for extracting data from
> >>> log files for reliability testing in work, but I'll be doing it in
> >>> Python 2.6, so I'm curious if other people are going to switch
> >>> immediately or stick with 2.6 for a while longer. I intend on checking
> >>> out 3.0 fairly soon (over the weekend maybe) and switching for
> >>> personal projects.
> >>
> >> I'd suggest sticking to 2.x for the time being, even for hobby type
> >> code, since at the present time practically none of the third party
> >> libs have 3.0 support, never mind being tested and stable.
> >>
> >>>
> >>> On a side note, how does execution performance of 3.0 compare to 2.6?
> >>> (Not that its an issue for me, but I am curious)
> >>
> >> Significantly slower for some operations, particularly on integers. As
> >> noted in the 3.0 What's New document, 3.0 is about 10% slower running
> >> PyStone (this is part of the stdlib as test.pystone apparently).
> >>
> >>>
> >>> --
> >>> Daniel Kersten.
> >>> Leveraging dynamic paradigms since the synergies of 1985.
> >>>
> >>> >
> >>>
> >>
> >> >
> >>
> >
> >
> >
> > --
> > Daniel Kersten.
> > Leveraging dynamic paradigms since the synergies of 1985.
> >
> > >
> >
>
> >
>

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