On 9 August 2016 at 19:17, Ralf Gommers <ralf.gomm...@gmail.com> wrote:
>
>
> On Wed, Aug 10, 2016 at 1:55 PM, Nelle Varoquaux <nelle.varoqu...@gmail.com>
> wrote:
>>
>> On 9 August 2016 at 17:28, Juan Nunez-Iglesias <jni.s...@gmail.com> wrote:
>> > @Emmanuelle I'm probably among the ones pushing hardest for this, and I
>> > can
>> > tell you, I can't wait for this change in policy, and would be sorely
>> > disappointed by having to work in an experimental branch of
>> > scikit-image.
>> > Both @-matmul and keyword-only arguments are, imho, compelling reasons
>> > to
>> > switch. (Imagine the amount of fiddling with the API that we could do
>> > with
>> > keyword-only arguments, without the annoying deprecation cycle!)
>> >
>> > @Ralf I would argue in favour of 3.5, for the above reasons and because
>> > anyone who had the temerity to update to 3.4 is very likely to
>> > subsequently
>> > move to 3.5. (Self-selected group of early adopters, plus no backwards
>> > incompatibility issues between the two versions.)
>
>
> I agree with this argument, I was just asking to clarify. @ is at least
> something interesting that's specifically added for scientific users, so
> imho 3.5 is the first 3.x release where in some cases the benefits may start
> to be worth the costs.
>
>>
>> That implies that even ubuntu users will have to install python from
>> another source than the package manager. Do you really want this? That
>> means that only fairly advance python users will be able to use the
>> latest scikit-image release.
>
>
> In the grand scheme of things, does Ubuntu matter much for this decision?
> There are way more Windows and OS X users, so if it's OK for them (which is
> not a given) then it should also be OK for those fewer and on average more
> computer-literate Ubuntu users.

I don't have a good overview of what OS people are using, but in the
different research facilities I've worked or visited, it was always
linux based, and users where not really tech-savy. I checked on all of
the servers (UW's genome science, the Curie institute, UC Berkeley's
stats department, the Mines' machine learning computing facilities.) I
have access to, none have python3.5. Some of these servers are
"offline", thus conda is useless. All of these research institutes
have teams that use in some way image processing.

I'll just also mentionned that we had a keynote at scipy this year
mentionning she was using python because she just did not have the
time anymore to code in C++ and Java. These are the kind of people
that may be using scikit-image, that may be interested in the latest
version of the package, and yet just not have the time to compile
python3.5 from scratch on an outdated server.

N

>
> Ralf
>
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