HOW_TO_RELEASE

How to issue an xarray release in 15 easy steps

Time required: about an hour.

 1. Ensure your master branch is synced to upstream:
       git pull upstream master
 2. Look over whats-new.rst and the docs. Make sure "What's New" is complete
    (check the date!) and consider adding a brief summary note describing the
    release at the top.
    Things to watch out for:
    - Important new features should be highlighted towards the top.
    - Function/method references should include links to the API docs.
    - Sometimes notes get added in the wrong section of whats-new, typically
      due to a bad merge. Check for these before a release by using git diff,
      e.g., ``git diff v0.X.Y whats-new.rst`` where 0.X.Y is the previous
      release.
 3. If you have any doubts, run the full test suite one final time!
      py.test
 4. On the master branch, commit the release in git:
      git commit -a -m 'Release v0.X.Y'
 5. Tag the release:
      git tag -a v0.X.Y -m 'v0.X.Y'
 6. Build source and binary wheels for pypi:
      git clean -xdf  # this deletes all uncommited changes!
      python setup.py bdist_wheel sdist
 7. Use twine to register and upload the release on pypi. Be careful, you can't
    take this back!
      twine upload dist/xarray-0.X.Y*
    You will need to be listed as a package owner at
    https://pypi.python.org/pypi/xarray for this to work.
 8. Push your changes to master:
      git push upstream master
      git push upstream --tags
 9. Update the stable branch (used by ReadTheDocs) and switch back to master:
      git checkout stable
      git rebase master
      git push upstream stable
      git checkout master
    It's OK to force push to 'stable' if necessary.
    We also update the stable branch with `git cherrypick` for documentation
    only fixes that apply the current released version.
10. Add a section for the next release (v.X.(Y+1)) to doc/whats-new.rst.
11. Commit your changes and push to master again:
      git commit -a -m 'Revert to dev version'
      git push upstream master
    You're done pushing to master!
12. Issue the release on GitHub. Click on "Draft a new release" at
    https://github.com/pydata/xarray/releases. Type in the version number, but
    don't bother to describe it -- we maintain that on the docs instead.
13. Update the docs. Login to https://readthedocs.org/projects/xray/versions/
    and switch your new release tag (at the bottom) from "Inactive" to "Active".
    It should now build automatically.
14. Issue the release announcement! For bug fix releases, I usually only email
    xarray@googlegroups.com. For major/feature releases, I will email a broader
    list (no more than once every 3-6 months):
      pydata@googlegroups.com, xarray@googlegroups.com,
      numpy-discussion@scipy.org, scipy-user@scipy.org,
      pyaos@lists.johnny-lin.com
    Google search will turn up examples of prior release announcements (look for
    "ANN xarray").

Note on version numbering:

We follow a rough approximation of semantic version. Only major releases (0.X.0)
show include breaking changes. Minor releases (0.X.Y) are for bug fixes and
backwards compatible new features, but if a sufficient number of new features
have arrived we will issue a major release even if there are no compatibility
breaks.

Once the project reaches a sufficient level of maturity for a 1.0.0 release, we
intend to follow semantic versioning more strictly.