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Mon, 20 Mar 2017 14:16:14 -0700

On Mon, Mar 20, 2017 at 11:58 AM, Jaime Fern¨¢ndez del R¨ªo <
jaime.f...@gmail.com> wrote:

>  I have just submitted a workshop proposal with the following short
> description:
>
> Taking NumPy In Stride
> This workshop is aimed at users already familiar with NumPy. We will
> dissect
> the NumPy memory model with the help of a very powerful abstraction:
> strides.
> Participants will learn how to create different views out of the same data,
> including multidimensional ones, get a new angle on how and why
> broadcasting
> works, and explore related techniques to write faster, more efficient code.
>

I'd go!

And nice title :-)

Any thoughts on a similar one for SciPy in Austin?

-CHB





> Let's see what the organizers think of it...
>
> Jaime
>
>
> On Fri, Mar 17, 2017 at 10:59 PM, Ralf Gommers <ralf.gomm...@gmail.com>
> wrote:
>
>>
>>
>> On Sat, Mar 18, 2017 at 8:41 AM, Chris Barker <chris.bar...@noaa.gov>
>> wrote:
>>
>>> On Fri, Mar 17, 2017 at 4:37 AM, Jaime Fern¨¢ndez del R¨ªo <
>>> jaime.f...@gmail.com> wrote:
>>>
>>>>
>>>>    - many people that use numpy in their daily work don't know what
>>>>    strides are, this was a BIG surprise for me.
>>>>
>>>> I'm not surprised at all. To start with, the majority of users are
>> self-taught programmers that never used something lower level than Python
>> or Matlab. Even talking to them about memory layout presents challenges.
>>
>>
>>>
>>>>    -
>>>>
>>>> Based on that experience, I was thinking that maybe a good topic for a
>>>> workshop would be NumPy's memory model: views, reshaping, strides, some
>>>> hints of buffering in the iterator...
>>>>
>>>
>> This material has been used multiple times in EuroScipy tutorials and may
>> be of use: free online bettinghttp://www.scipy-lectures.org/advanced/advanced_numpy/index.
>> html
>>
>> Ralf
>>
>>
>>
>>> I think this is a great idea. In fact, when I do an intro to numpy, I
>>> spend a bit of time on those issues, 'cause I think it's key to "Getting"
>>> numpy, and not something that people end up learning on their own from
>>> tutorials, etc. However, in my  case, I try to jam it into a low-level
>>> intro, and I think that fails :-(
>>>
>>> So doing it on it's own with the assumption that participant already
>>> know the basics of the high level python interface is a great idea.
>>>
>>> Maybe a "advanced" numpy tutorial for SciPy 2017 in Austin also???
>>>
>>> Here is my last talk -- maybe it'll be helpful.
>>>
>>> http://uwpce-pythoncert.github.io/SystemDevelopment/scipy.html#scipy
>>>
>>> the strides stuff is covered in a notebook here:
>>>
>>> https://github.com/UWPCE-PythonCert/SystemDevelopment/blob/m
>>> aster/Examples/numpy/stride_tricks.ipynb
>>>
>>> other notebooks here:
>>>
>>> https://github.com/UWPCE-PythonCert/SystemDevelopment/tree/m
>>> aster/Examples/numpy
>>>
>>> and the source for the whole thing is here:
>>>
>>> https://github.com/UWPCE-PythonCert/SystemDevelopment/blob/m
>>> aster/slides_sources/source/scipy.rst
>>>
>>>
>>> All licensed under: Creative Commons Attribution-ShareAlike -- so please
>>> use anything you find useful.
>>>
>>> -CHB
>>>
>>>
>>>
>>> And Julian's temporary work lends itself to a very nice talk, more on
>>>> Python internals than on NumPy, but it's a very cool subject nonetheless.
>>>>
>>>> So my thinking is that I am going to propose those two, as a workshop
>>>> and a talk. Thoughts?
>>>>
>>>> Jaime
>>>>
>>>> On Thu, Mar 9, 2017 at 8:29 PM, Sebastian Berg <
>>>> sebast...@sipsolutions.net> wrote:
>>>>
>>>>> On Thu, 2017-03-09 at 15:45 +0100, Jaime Fern¨¢ndez del R¨ªo wrote:
>>>>> > There will be a PyData conference in Barcelona this May:
>>>>> >
>>>>> > http://pydata.org/barcelona2017/
>>>>> >
>>>>> > I am planning on attending, and was thinking of maybe proposing to
>>>>> > organize a numpy-themed workshop or tutorial.
>>>>> >
>>>>> > My personal inclination would be to look at some advanced topic that
>>>>> > I know well, like writing gufuncs in Cython, but wouldn't mind doing
>>>>> > a more run of the mill thing. Anyone has any thoughts or experiences
>>>>> > on what has worked well in similar situations? Any specific topic you
>>>>> > always wanted to attend a workshop on, but were afraid to ask?
>>>>> >
>>>>> > Alternatively, or on top of the workshop, I could propose to do a
>>>>> > talk: talking last year at PyData Madrid about the new indexing was a
>>>>> > lot of fun! Thing is, I have been quite disconnected from the project
>>>>> > this past year, and can't really think of any worthwhile topic. Is
>>>>> > there any message that we as a project would like to get out to the
>>>>> > larger community?
>>>>> >
>>>>>
>>>>> Francesc already pointed out the temporary optimization. From what I
>>>>> remember, my personal highlight would probably be Pauli's work on the
>>>>> memory overlap detection. Though both are rather passive improvements I
>>>>> guess (you don't really have to learn them to use them), its very cool!
>>>>> And if its about highlighting new stuff, these can probably easily fill
>>>>> a talk.
>>>>>
>>>>> > And if you are planning on attending, please give me a shout.
>>>>> >
>>>>>
>>>>> Barcelona :). Maybe I should think about it, but probably not.
>>>>>
>>>>>
>>>>> > Thanks,
>>>>> >
>>>>> > Jaime
>>>>> >
>>>>> > --
>>>>> > (\__/)
>>>>> > ( O.o)
>>>>> > ( > <) Este es Conejo. Copia a Conejo en tu firma y ay¨²dale en sus
>>>>> > planes de dominaci¨®n mundial.
>>>>> > _______________________________________________
>>>>> > NumPy-Discussion mailing list
>>>>> > NumPy-Discussion@scipy.org
>>>>> > https://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>> _______________________________________________
>>>>> NumPy-Discussion mailing list
>>>>> NumPy-Discussion@scipy.org
>>>>> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> (\__/)
>>>> ( O.o)
>>>> ( > <) Este es Conejo. Copia a Conejo en tu firma y ay¨²dale en sus
>>>> planes de dominaci¨®n mundial.
>>>>
>>>> _______________________________________________
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>>>> NumPy-Discussion@scipy.org
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>>>>
>>>>
>>>
>>>
>>> --
>>>
>>> Christopher Barker, Ph.D.
>>> Oceanographer
>>>
>>> Emergency Response Division
>>> NOAA/NOS/OR&R            (206) 526-6959   voice
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>>>
>>> chris.bar...@noaa.gov
>>>
>>> _______________________________________________
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>>>
>>>
>>
>> _______________________________________________
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>>
>>
>
>
> --
> (\__/)
> ( O.o)
> ( > <) Este es Conejo. Copia a Conejo en tu firma y ay¨²dale en sus planes
> de dominaci¨®n mundial.
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>
>


-- 

Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
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