Hooray! Is there any document for start point? >
This is probably the best starting point: https://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html > For me interesting contribution on architecture/code-base/documentation > That pretty much sounds like... everything! Like most things in open source, new code/docs/service get to users of Jupyter when: - someone has an itch to scratch (might be a person, company, or bot) - someone can do the work to scratch it (maybe the first someone, maybe someone else) - someone reviews the work (usually, initially by a bot, but then a person) - someone merges the work (maybe the reviewer, maybe someone else) - someone cuts a release containing the new work (sometimes a person, sometimes a bot) Concretely, as most development on Jupyter happens on GitHub, you can take your pick of "good first issue" issues on the respective repositories. Here's a random smattering of repos: - https://github.com/jupyter/notebook/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22 - https://github.com/jupyter/nbconvert/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22 - https://github.com/jupyterhub/jupyterhub/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22 - https://github.com/jupyterlab/jupyterlab/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22 If none of those sound interesting, you may wish to watch/star some repos and and start watching the issues that crop up, and see if something takes your fancy. Ocotobox.io is very handy for this, as you can search across many repos. Once you find a thing you want to work on, It's "good form" to announce that you intend to work on an issue, but few projects will turn down good code on a drive-by PR if is: - fixing a known issue - small - well-written - tested - documented in roughly that order of importance. -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/5a9f2831-99d5-47c0-8580-9cbe04c7e80d%40googlegroups.com.
