Comments (1)
Here are some instructions I had written down for spark-sklearn
, which should be quite similar:
Here are some procedures to release a new version of the spark-sklearn package.
Code: https://github.com/databricks/spark-sklearn
if you make a mistake in the release, bump the minor, create a new tag and start over. This is much better than trying to overwrite some existing artifacts that may already be used.
Prepare the release
Update the release docs and the change log.
export RELEASE=0.2.0
Create a tag:
git tag release-$RELEASE upstream/master
git push upstream --tags
Upload on pypi
General info: http://peterdowns.com/posts/first-time-with-pypi.html
You need the proper credentials for that. Ask Timothee Hunter for an account.
Test the release. It will check the egg file is correct:
python setup.py register -r pypitest
python setup.py sdist upload -r pypitest
Publish for good:
python setup.py register -r pypi
python setup.py sdist upload -r pypi
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Related Issues (20)
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