On Thu, Dec 29, 2011 at 4:36 PM, Ralf Gommers
<ralf.gomm...@googlemail.com> wrote:
>
>
> On Thu, Dec 29, 2011 at 9:50 PM, Charles R Harris
> <charlesr.har...@gmail.com> wrote:
>>
>> Hi All,
>>
>> I thought I'd raise this topic just to get some ideas out there. At the
>> moment I see two areas that I'd like to see addressed.
>>
>> Documentation editor. This would involve looking at the generated
>> documentation and it's organization/coverage as well such things as style
>> and maybe reviewing stuff on the documentation site. This would be more
>> technical writing than coding.
>> Test coverage. There are a lot of areas of numpy that are not well tested
>> as well as some tests that are still doc tests and should probably be
>> updated. This is a substantial amount of work and would require some
>> familiarity with numpy as well as a willingness to ping developers for
>> clarification of some topics.
>>
>> Thoughts?
>
> First thought: very useful, but probably not GSOC topics by themselves.
>
> For a very good student, I'd think topics like implementing NA bit masks or
> improved user-defined dtypes would be interesting. In SciPy there's also a
> lot to do, and that's probably a better project for students who prefer to
> work in Python.
>
> Thanks for bringing this up. Last year we missed the boat, it would be good
> to get one or more slots this year.
>
> Ralf
>
>
>
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Along with test coverage, have any of you considered any systematic
monitoring of NumPy performance? With all of the extensive refactoring
/ work on the internals, it would be useful to keep an eye on things
in case of any performance regressions. I mention this because I
started a little prototype project (http://github.com/wesm/vbench) for
doing exactly that for my own development purposes-- it's already
proved extremely useful.

Anyway, just a thought. I'm sure a motivated student could spend a
whole summer writing unit tests for NumPy and nothing else.

- Wes
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