[Numpy-discussion] PyData Madrid

[Jaime Fernández del Río]

On Sat, Feb 20, 2016 at 8:13 PM, David Cournapeau <cournape at gmail.com>
wrote:

>
>
> On Sat, Feb 20, 2016 at 5:26 PM, Kiko <kikocorreoso at gmail.com> wrote:
>
>>
>>
>> 2016-02-20 17:58 GMT+01:00 Ralf Gommers <ralf.gommers at gmail.com>:
>>
>>>
>>>
>>> On Wed, Feb 17, 2016 at 9:46 PM, Sebastian Berg <
>>> sebastian at sipsolutions.net> wrote:
>>>
>>>> On Mi, 2016-02-17 at 20:59 +0100, Jaime Fernández del Río wrote:
>>>> > Hi all,
>>>> >
>>>> > I just found out there is a PyData Madrid happening in early April,
>>>> > and it would feel wrong not to go, it being my hometown and all.
>>>> >
>>>> > Aside from the usual "Who else is going? We should meet!" I was also
>>>> > thinking of submitting a proposal for a talk.  My idea was to put
>>>> > something together on "The future of NumPy indexing" and use it as an
>>>> > opportunity to raise awareness and hopefully gather feedback from
>>>> > users on the proposed changes, in sort of a "if the mountain won't
>>>> > come to Muhammad" type of thing.
>>>> >
>>>>
>>>> I guess you do know my last name means mountain in german? But if
>>>> Muhammed might come, I should really improve my arabic ;).
>>>>
>>>> In any case sounds good to me if you like to do it, I don't think I
>>>> will go, though it sounds nice.
>>>>
>>>
>>> Sounds like a good idea to me too. I like both the concrete topic, as
>>> well as just having a talk on Numpy at a PyData conference. In general
>>> there are too few (if any) talks on Numpy and other core libraries at
>>> PyData and Scipy confs I think.
>>>
>>
>> +1.
>>
>> It would be great a numpy talk from a core developer. BTW, C4P closes
>> tomorrow!!!
>>
>
With a full day to spare, I have submitted a talk proposal:

Brief Description
Advanced (a.k.a. "fancy") indexing is one of NumPy's greatest features.
It is also well known for its ability to trip and confuse beginners and
experts alike. This talk will review how it works and why it is great,
give some insight on why it is how it is, explore some of its darkest
corners, and go over some recent proposals to rationalize it.

Detailed Abstract
Advanced (a.k.a. _fancy_) indexing is one of NumPy's greatest features.
Once past the rather steep learning curve, it enables a very expressive
and powerful syntax, and makes coding a wide range of complex operations
a breeze. But this versatility comes with a dark side of surprising
results for some seemingly simple cases, and conflicts with the design
choices of more recent data analysis packages. This has led to a
viewpoint with growing support among the community that fancy indexing
may be too fancy for its own good. This talk will review the workings of
advanced indexing, highlighting where it excels, and where it falls
short, and give some context on the logic behind some design decisions.
It will also cover the existing
[NumPy Enhancement Proposal (NEP)](https://github.com/numpy/numpy/pull/6256)
to "implement an intuitive and fully featured advanced indexing."


>
>> Jaime, if you come to Madrid you know you have some beers waiting for you.
>>
>
Talk or not, I'm really looking forward to those beers and getting to meet
Juan Luis and you!

Jaime

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