On Thu, Jun 29, 2017 at 12:07 PM, Charles R Harris < charlesr.har...@gmail.com> wrote:
> Hi All, > > I will be running the NumPy sprint at Scipy 2017 and I'm trying to put > together a suitable list of things to sprint on. In my experience, > sprinting on NumPy is hard, enhancements generally need lengthy review and > even finding and doing simple bug fixes can take time. What I have in mind > at this point, apart from what might be a getting started tutorial, could > mostly be classified as janitorial work. > > > 1. Triage issues and close those that no longer apply. This is mind > numbing work, but it has been almost three years since the last pass. > 2. Move the contents of `numpy/doc` into `doc/source` and make them > normal *.rst files. > 3. Convert the doctest in `numpy/lib/tests/test_polynomial.py` to > regular tests. Might be tricky as it mostly checks print formatting. > > > Oops, sent prematurely by accident. Anyway, I'm looking for suggestions and comments as to things to do that would be useful. Chuck
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