[Numpy-discussion] Building Numpy Documentation

[cooperrc]

I'm trying to build NumPy and its documentation from the current git repo,
but I'm hitting a snag. I keep getting a RuntimeError:


I'm trying to build NumPy inside the cloned repository from my fork. I'm
running Arch (kernel 5.7.12) with gcc and gcc-libs installed. I'm using a
fresh conda environment that has only installed Python 3.8 and Cython. 

Any way I can troubleshoot this issue?




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Re: [Numpy-discussion] Building Numpy Documentation

[cooperrc]

Thanks! I'll post the issue and full output. 



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Re: [Numpy-discussion] Building Numpy Documentation

[cooperrc]

For future reference, I opened and closed  issue 17016
   on github. 

The culprit was a `Broken Toolchain` due to a mismatch between Arch's newer
ld and conda's older ld. 

Solution was to

move the default ~/conda/envs/doc-build-38/compiler_compat/ld
to ~/conda/envs/doc-build-38/compiler_compat/bak_ld

Then, the build went smoothly.



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[Numpy-discussion] Feature requests/Enhancements for upper-level engineering students

[cooperrc]

Greetings,
As the Fall semester is fast approaching (10 days away for us at UConn), we
are looking for senior design (also called capstone) projects for the
2020-2021 school year. The COVID situation has strengthened the need for
remote work. 
The process here is that students are assigned to projects by late
September. Then, they have 6 main deliverables over the course of 2
semesters:
1. Initial Fall Presentation (~Oct)
2. Final Fall Presentation (~Dec)
3. Mid-year report (~Jan)
4. Initial Spring Presentation (~Mar)
5. Final Spring Presntation (~Apr)
6. Final report (~May)

My question to the NumPy community is: Are there any features or
enhancements that would be nice to have, but might not have a team dedicated
to the idea?

I would be happy to advise any projects that people are interested in
proposing. I would like to hear what people think would be worthwhile for
students to build together. Some background, these students have all used
Python and Matlab for mechanical engineering applications like linear
regression, modal analyses, ode integration, and root solving. They learn
quickly, but may not be interested in UX/UI design problems. 





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Re: [Numpy-discussion] Feature requests/Enhancements for upper-level engineering students

[cooperrc]

Charles R Harris wrote
> On Thu, Aug 20, 2020 at 11:11 AM cooperrc <

> ryan.c.cooper@

> > wrote:
> 
>> Greetings,
>> As the Fall semester is fast approaching (10 days away for us at UConn),
>> we
>> are looking for senior design (also called capstone) projects for the
>> 2020-2021 school year. The COVID situation has strengthened the need for
>> remote work.
>> The process here is that students are assigned to projects by late
>> September. Then, they have 6 main deliverables over the course of 2
>> semesters:
>> 1. Initial Fall Presentation (~Oct)
>> 2. Final Fall Presentation (~Dec)
>> 3. Mid-year report (~Jan)
>> 4. Initial Spring Presentation (~Mar)
>> 5. Final Spring Presntation (~Apr)
>> 6. Final report (~May)
>>
>> My question to the NumPy community is: Are there any features or
>> enhancements that would be nice to have, but might not have a team
>> dedicated
>> to the idea?
>>
>> I would be happy to advise any projects that people are interested in
>> proposing. I would like to hear what people think would be worthwhile for
>> students to build together. Some background, these students have all used
>> Python and Matlab for mechanical engineering applications like linear
>> regression, modal analyses, ode integration, and root solving. They learn
>> quickly, but may not be interested in UX/UI design problems.
>>
>>
>>
> Thanks for the inquiry. We are always looking for new people who have the
> time and inclination to make a contribution to NumPy, but NumPy core
> probably isn't a good choice for class projects. Work on NumPy core
> requires C and CPython C-API expertise and experienced programmers
> generally take 3-6 months to come up to speed, the learning curve is just
> too steep for most students. NumPy also needs to be very careful about
> maintaining compatibility with existing downstream projects and in
> introducing new features. I suspect students would enjoy a
> faster moving project.
> 
> There is a lot of work on the website and online documentation that is
> moving faster than NumPy core, but that sounds like it might be out of
> scope for your classes. If not, let us know.
> 
> If you can think of new projects based on NumPy, that might work better.
> They could be written in Python and the students could release them on
> PyPI
> if so inclined. I suspect there are several ongoing projects that are more
> engineering oriented than NumPy and the current Python Science stack could
> use more engineering applications. Perhaps others more familiar with that
> area could make suggestions.
> 
> Chuck
> 
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Thanks for the feedback Chuck. I'll poke around and brainstorm. 



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Re: [Numpy-discussion] Feature requests/Enhancements for upper-level engineering students

[cooperrc]

KevinBaselinesw wrote
> would your team be interested in contributing to my port of Numpy to .NET?
> 
> https://github.com/Quansight-Labs/numpy.net
> 
> I have the vast majority of the Numpy core working as a pure .NET library.
> 
> All of the other libraries that rely on Numpy are not ported. I am sure we
> could find some good projects for your team to work on.  These would be
> "green field" projects and would likely be great learning opportunities
> for
> them.
> 
> 
> 
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I don't have any experience in .NET, so I don't know how much help I could
lend/advise projects. 



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