Hi everyone,
Just my two cents: I echo the sentiments mentioned earlier in this thread,
and think that there is strong motivation to move away from 2.6 +1!
Nelson Liu
On Mon, Jan 11, 2016, 9:20 AM Andy wrote:
> This seems like a good motivation.
> I think we heard a lot of
This seems like a good motivation.
I think we heard a lot of people not having any issues, and more people
going this way.
So let's go for it?
[that is change the readme, change the build matrix, grep the source for
backports]
On 01/08/2016 08:55 AM, Olivier Grisel wrote:
> Yet another
On Fri, Jan 8, 2016 at 5:55 AM, Olivier Grisel
wrote:
> Yet another perspective:
>
And yet another, in case it helps you make this decision.
IPython's official statement on our website reads:
IPython supports Python 2.7 and 3.3 or newer. Our older 1.x series supports
Yet another perspective:
I am currently working with Thomas Moreau @tomMoral on more robust
process management for joblib / multiprocessing and supporting Python
2.6 seems to be tedious to do correctly (we need to backport a lot of
code from more recent versions of multiprocessing) and will
On Mon, Jan 4, 2016 at 9:41 PM, Andreas Mueller wrote:
>
>
> On 01/04/2016 03:31 PM, Joel Nothman wrote:
>> FWIW: features that I have had to remove include format strings with
>> implicit arg numbers, set literals, dict comprehensions, perhaps
>> ordered dicts / counters. We
On Mon, Jan 04, 2016 at 01:22:12PM -0500, Andreas Mueller wrote:
> I'm not sure I'm for dropping 2.6 for the sake of dropping 2.6.
I agree. I find the attitude of the post that I mentionned a bit
annoying: dropping support for the sake of forcing people to move isn't a
good thing. It should bring
I have many times committed coded and had to fix for python 2.6.
FWIW: features that I have had to remove include format strings with
implicit arg numbers, set literals, dict comprehensions, perhaps ordered
dicts / counters. We are already clandestinely using argparse in benchmark
code.
Most of
On 01/04/2016 03:31 PM, Joel Nothman wrote:
> FWIW: features that I have had to remove include format strings with
> implicit arg numbers, set literals, dict comprehensions, perhaps
> ordered dicts / counters. We are already clandestinely using argparse
> in benchmark code.
You probably just
For what it’s worth, pandas is dropping 3.3 in our next release (0.18 maybe end
of this month). We’re possibly dropping 2.6 as well, but it might get one more
release.
-Tom
> On Jan 4, 2016, at 7:28 AM, Gael Varoquaux
> wrote:
>
> Happy new year everybody,
>
Happy new year everybody,
As a new year resolution, I suggest that we drop Python 2.6
compatibility.
For an argumentation in this favor, see
http://www.snarky.ca/stop-using-python-2-6 (I don't buy everything there,
but the core idea is there).
For us, this will mean more usage of context
Subject: Re: [Scikit-learn-general] Dropping Python 2.6 compatibility
For what it’s worth, pandas is dropping 3.3 in our next release (0.18 maybe end
of this month). We’re possibly dropping 2.6 as well, but it might get one more
release.
-Tom
> On Jan 4, 2016, at 7:28 AM, Gael Varoqu
Happy new year!
I think it would be cool to hear from matplotlib what their experience was.
I'm not sure I'm for dropping 2.6 for the sake of dropping 2.6.
What would we actually gain?
There are two fixes in sklearn/utils/fixes.py that we could remove, I think.
Also: what does dropping 2.6 mean?
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