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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: http://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/master/Examples/numpy/stride_tricks.ipynb
>
> other notebooks here:
>
> https://github.com/UWPCE-PythonCert/SystemDevelopment/
> tree/master/Examples/numpy
>
> and the source for the whole thing is here:
>
> https://github.com/UWPCE-PythonCert/SystemDevelopment/
> blob/master/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
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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.
>>
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>>
>>
>
>
> --
>
> Christopher Barker, Ph.D.
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