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 > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@ > https://mail.python.org/mailman/listinfo/numpy-discussion Thanks for the feedback Chuck. I'll poke around and brainstorm. -- Sent from: http://numpy-discussion.10968.n7.nabble.com/ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
