On Thu, Feb 1, 2018 at 7:38 AM, Renato Fabbri email@example.com wrote:
If you think I should split the message so that things get more clear...
But the things are:
- How to document numpy-heavy projects?
There is nothing particularly special about numpy-heavy projects with respect to documentation. The tools used for numpy and scipy's documentation may (or may not) be useful to you. For example, you may want to embed matplotlib plots into your documentation.
But if not, don't worry about it. Sphinx is all most numpy-heavy projects need, like most Python projects. Hosting the documentation on either readthedocs or Github is fine. Do whatever's convenient for you. Either is just as convenient for us.
- How to better make these contributions available
to the numpy/scipy community?
Having it up on Github and PyPI is all you need to do. Participate in relevant mailing list conversations. While we don't forbid release announcement emails on either of the lists, I wouldn't do much more than announce the initial release and maybe a really major update (i.e. not for every bugfix release).
Directions will be greatly appreciated. I suspect that this info is all gathered somewhere I did not find.
Sorry this isn't gathered anywhere, but truly, the answer is "there is not much to it". You're doing everything right. :-)
-- Robert Kern