On Thu, Dec 10, 2015 at 4:20 AM, Julian Taylor < jtaylor.deb...@googlemail.com> wrote:
> On 12/09/2015 12:10 AM, Ralf Gommers wrote: > >> >> >> On Wed, Dec 9, 2015 at 12:01 AM, Chris Barker <chris.bar...@noaa.gov >> <mailto:chris.bar...@noaa.gov>> wrote: >> >> drop 2.6 >> >> I still don't understand why folks insist that they need to run a >> (very)) old python on an old OS, but need the latest and greatest >> numpy. >> >> Chuck's list was pretty long and compelling. >> >> -CHB >> >> >> >> On Mon, Dec 7, 2015 at 1:38 AM, Sturla Molden >> <sturla.mol...@gmail.com <mailto:sturla.mol...@gmail.com>> wrote: >> >> Charles R Harris <charlesr.har...@gmail.com >> <mailto:charlesr.har...@gmail.com>> wrote: >> >> > As a strawman proposal, how about dropping moving to 2.7 and >> 3.4 minimum >> > supported version next fall, say around numpy 1.12 or 1.13 >> depending on how >> > the releases go. >> > >> > I would like to here from the scipy folks first. >> >> >> +1 for dropping Python 2.6, 3.2 and 3.3 after branching 1.11.x. We're >> already behind other projects like ipython, pandas and matplotlib as >> usual, so there really isn't much point in being the only project >> (together with scipy) of the core stack to keep on supporting more or >> less obsolete Python versions. >> >> Ralf >> > > > I don't see how that is a relevant point. NumPy is the lowest component of > the stack, we have to be the last to drop support for Python 2.6. And we > aren't yet the last even when only looking at the high profile components. > Astropy still supports 2.6 for another release. > Though by the time 1.11 comes out we might be so I'm ok with dropping it > after that even when I'm not convinced we gain anything significant from > doing so. Purely from a user-perspective, I don't understand why the numpy team would want to continue support Python <= 2.6 and <= 3.3. The old versions of numpy aren't going anywhere, so they can still be used if, for example, you're stuck on a 6-yr old license of ArcGIS, and therefore stuck on Python 2.6 I started using Python with version 2.4 or 2.5 and there was zero discussion about supporting old Python 1.X versions then. I know those situations are aren't directly comparable, but when can we let the past go? -paul
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