On Mon, Mar 20, 2017 at 10:13 PM, Chris Barker <chris.bar...@noaa.gov> wrote:
> On Mon, Mar 20, 2017 at 11:58 AM, Jaime Fernández del Río < > 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? > I'll be more than happy to share presentations, notebooks and whatnot with someone wanting to run the tutorial over there. But Austin is a looong way from Zürich, and the dates conflict with my son's birthday, so I don't think I will be going... Jaime > > -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 Fernández del Río < >>>> 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/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 Fernández del Río 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 ayúdale en sus >>>>>> > planes de dominación 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 ayúdale en sus >>>>> planes de dominación 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 >>>> 7600 Sand Point Way NE (206) 526-6329 fax >>>> Seattle, WA 98115 (206) 526-6317 main reception >>>> >>>> chris.bar...@noaa.gov >>>> >>>> _______________________________________________ >>>> 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 ayúdale en sus planes >> de dominación 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 > 7600 Sand Point Way NE (206) 526-6329 fax > Seattle, WA 98115 (206) 526-6317 main reception > > chris.bar...@noaa.gov > > _______________________________________________ > 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 ayúdale en sus planes de dominación mundial.
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