Merge pull request #1023 from ahojnnes/release

New release note process
This commit is contained in:
Tony S Yu
2014-08-05 00:56:22 -05:00
4 changed files with 83 additions and 1 deletions
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@@ -77,6 +77,12 @@ For a more detailed discussion, read these :doc:`detailed documents
Travis fails, you can find out why by clicking on the "failed" icon (red
cross) and inspecting the build and test log.
5. Document changes
Before merging your commits, you must add a description of your changes
to the release notes of the upcoming version in
``doc/release/release_dev.txt``.
.. note::
To reviewers: if it is not obvious, add a short explanation of what a branch
@@ -85,7 +91,7 @@ For a more detailed discussion, read these :doc:`detailed documents
Divergence between ``upstream master`` and your feature branch
..............................................................
--------------------------------------------------------------
Do *not* ever merge the main branch into yours. If GitHub indicates that the
branch of your Pull Request can no longer be merged automatically, rebase
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@@ -8,6 +8,10 @@ How to make a new release of ``skimage``
- To show a list of contributors and changes, run
``doc/release/contribs.py <tag of prev release>``.
- Review and cleanup ``doc/release/release_dev.txt``, rename to
``doc/release/release_X.txt``, and create new
``doc/release/release_dev.txt``.
- Update the version number in ``setup.py`` and ``bento.info`` and commit
- Update the docs:
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Announcement: scikit-image 0.X.0
================================
We're happy to announce the release of scikit-image v0.X.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms
for segmentation, geometric transformations, color space manipulation,
analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
http://scikit-image.org
New Features
------------
Improvements
------------
API Changes
-----------
Deprecations
------------
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Announcement: scikit-image 0.X.0
================================
We're happy to announce the release of scikit-image v0.X.0!
scikit-image is an image processing toolbox for SciPy that includes algorithms
for segmentation, geometric transformations, color space manipulation,
analysis, filtering, morphology, feature detection, and more.
For more information, examples, and documentation, please visit our website:
http://scikit-image.org
New Features
------------
Improvements
------------
API Changes
-----------
Deprecations
------------