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re-write release guide #3707
Description
current one is a tad out of date. This is a brain dump of what I have done for the last 3 releases. Here instead of a PR as I didn't plan to type out the list when I created the issue.
- make sure all of the testing and such is done (pretty easy now that we have travis)
- run github stats script to update the contributor and issue logs
- bump version to release target and commit
- create (and optionally sign) tag
- create doc branch off of the new tag
- version bump back to dev version and commit
- merge everything back to master
- checkout tag
- push tag and updated branches to github
- turn tag into a Release
- run
git clean -xfdto make sure stray files don't make it into the dist - run
python setup.py sdistto make clean source tarball - kick off building the mac wheels (https://travis-ci.org/MacPython/matplotlib-wheels)
- create folders on SF (matplotlib-X.Y.Z + windows, mac sub-folders)
- upload tarball to SF
- email windows builder
- email linux/conda/canopy maintainers
- run
python setup.py sdist upload --signto upload to pypi (this assumes .pypirc is set up) - collect wheels + exe for windows and mac and upload to pypi (use twine) + SF
- upload all the binaries to pypi
- get a DOI from https://zenodo.org/
- manually update
citing.htmlwith DOI link in doc/_templates - install the tagged version
- build the docs and copy to new folder (X.Y.Z) matplotlib.github.com repo
- copy new files to top level folder
- manually update
downloads.txt+ rerunupdate_downloads.py - manually update
versions.html - commit all changes to
matplotlib.github.commaster and push upstream - announce to all three mailing lists + g+ + twitter
Activity
mdboom commentedon Oct 23, 2014
This is a real testament to all the hard work you've been doing, and a good thing to link to next time someone asks why the release is delayed :)
This is one of those things that would be nice to automate, but is very hard to automate. Any rethinking or streamlining along those lines would be great, of course -- maybe it would be helpful to have someone on one of the other large scipy-community projects to look at this and offer advice. There always seem to be little tricks in this space that are hard to find.
6 remaining items
tacaswell commentedon Oct 8, 2017
Thas was done in #7635