scikit-learn
diff --git a/‎doc/developers/maintainer.rst‎
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@@ -57,81 +57,121 @@ permissions given to maintainers, which includes:
 Preparing a release PR
 ......................
 
-Releasing the first RC of e.g. version `0.99` involves creating the release
+Major version release
+~~~~~~~~~~~~~~~~~~~~~
+
+Prior to branching please do not forget to prepare a Release Highlights page as
+a runnable example and check that its HTML rendering looks correct. These
+release highlights should be linked from the ``doc/whats_new/v0.99.rst`` file
+for the new version of scikit-learn.
+
+Releasing the first RC of e.g. version `0.99.0` involves creating the release
 branch `0.99.X` directly on the main repo, where `X` really is the letter X,
-**not a placeholder**. This is considered the *feature freeze*. The
-development for the major and minor releases of 0.99 should
-**also** happen under `0.99.X`. Each release (rc, major, or minor) is a tag
-under that branch.
+**not a placeholder**. The development for the major and minor releases of `0.99`
+should **also** happen under `0.99.X`. Each release (rc, major, or minor) is a
+tag under that branch.
+
+This is done only once, as the major and minor releases happen on the same
+branch:
+
+   .. prompt:: bash $
+
+     # Assuming upstream is an alias for the main scikit-learn repo:
+     git fetch upstream master
+     git checkout upstream/master
+     git checkout -b 0.99.X
+     git push --set-upstream upstream 0.99.X
+
+   Again, `X` is literal here, and `99` is replaced by the release number.
+   The branches are called ``0.19.X``, ``0.20.X``, etc.
 
 In terms of including changes, the first RC ideally counts as a *feature
 freeze*. Each coming release candidate and the final release afterwards will
-include minor documentation changes and bug fixes. Any major enhancement or
-feature should be excluded.
+include only minor documentation changes and bug fixes. Any major enhancement
+or feature should be excluded.
+
+Then you can prepare a local branch for the release itself, for instance:
+``release-0.99.0rc1``, push it to your github fork and open a PR **to the**
+`scikit-learn/0.99.X` **branch**. Copy the :ref:`release_checklist` templates
+in the description of the Pull Request to track progress.
+
+This PR will be used to push commits related to the release as explained in
+:ref:`making_a_release`.
+
+You can also create a second PR from master and targeting master to increment
+the ``__version__`` variable in `sklearn/__init__.py` to increment the dev
+version. This means while we're in the release candidate period, the latest
+stable is two versions behind the master branch, instead of one. In this PR
+targeting master you should also include a new file for the matching version
+under the ``doc/whats_new/`` folder so PRs that target the next version can
+contribute their changelog entries to this file in parallel to the release
+process.
+
+Minor version release
+~~~~~~~~~~~~~~~~~~~~~
 
 The minor releases should include bug fixes and some relevant documentation
 changes only. Any PR resulting in a behavior change which is not a bug fix
 should be excluded.
 
-First, create a branch, **on your own fork** (to release e.g. `0.999.3`):
+First, create a branch, **on your own fork** (to release e.g. `0.99.3`):
 
 .. prompt:: bash $
 
     # assuming master and upstream/master are the same
-    git checkout -b release-0.999.3 master
+    git checkout -b release-0.99.3 master
 
-Then, create a PR **to the** `scikit-learn/0.999.X` **branch** (not to
+Then, create a PR **to the** `scikit-learn/0.99.X` **branch** (not to
 master!) with all the desired changes:
 
 .. prompt:: bash $
 
-	git rebase -i upstream/0.999.2
+	git rebase -i upstream/0.99.2
 
-Do not forget to add a commit updating sklearn.__version__.
+Copy the :ref:`release_checklist` templates in the description of the Pull
+Request to track progress.
+
+Do not forget to add a commit updating ``sklearn.__version__``.
 
 It's nice to have a copy of the ``git rebase -i`` log in the PR to help others
 understand what's included.
 
+.. _making_a_release:
+
 Making a release
 ................
 
-0. Create the release branch on the main repo, if it does not exist. This is
-   done only once, as the major and minor releases happen on the same branch:
-
-   .. prompt:: bash $
-
-     git checkout -b 0.99.X
-
-   Again, `X` is literal here, and `99` is replaced by the release number.
-   The branches are called ``0.19.X``, ``0.20.X``, etc.
+0. Ensure that you have checked out the branch of the release PR as explained
+   in :ref:`preparing_a_release_pr` above.
 
 1. Update docs. Note that this is for the final release, not necessarily for
    the RC releases. These changes should be made in master and cherry-picked
    into the release branch, only before the final release.
 
-   - Edit the doc/whats_new.rst file to add release title and commit
-     statistics. You can retrieve commit statistics with:
+   - Edit the ``doc/whats_new/v0.99.rst`` file to add release title and list of
+     contributors.
+     You can retrieve the list of contributor names with:
 
      ::
 
-       $ git shortlog -s 0.99.33.. | cut -f2- | sort --ignore-case | tr '\n' ';' | sed 's/;/, /g;s/, $//'
+       $ git shortlog -s 0.98.33.. | cut -f2- | sort --ignore-case | tr '\n' ';' | sed 's/;/, /g;s/, $//' | fold -s
+
+     - For major releases, link the release highlights example from the ``doc/whats_new/v0.99.rst`` file.
 
    - Update the release date in ``whats_new.rst``
 
-   - Edit the doc/templates/index.html to change the 'News' entry of the front
-     page.
+   - Edit the ``doc/templates/index.html`` to change the 'News' entry of the
+     front page (with the release month as well).
 
 2. On the branch for releasing, update the version number in
-   `sklearn/__init__.py`, the ``__version__`` variable by removing ``dev*``
-   only when ready to release. On master, increment the version in the same
-   place (when branching for release). This means while we're in the release
-   candidate period, the latest stable is two versions behind the master
-   branch, instead of one.
-
-3. Proceed with caution. Ideally, tags should be created when you're almost
-   certain that the release is ready, since adding a tag to the main repo can
-   trigger certain automated processes. You can create a PR in the main repo
-   and trigger the wheel builder with the ``[cd build]`` commit marker using
+   ``sklearn/__init__.py``, the ``__version__``.
+
+   For major releases, please add a 0 at the end: `0.99.0` instead of `0.99`.
+
+   For the first release candidate, use the `rc1` suffix on the expected final
+   release number: `0.99.0rc1`.
+
+3. Trigger the wheel builder with the ``[cd build]`` commit marker using
    the command:
 
    .. prompt:: bash $
@@ -141,36 +181,70 @@ Making a release
    The wheel building workflow is managed by GitHub Actions and the results be browsed at:
    https://github.com/scikit-learn/scikit-learn/actions?query=workflow%3A%22Wheel+builder%22
 
-   Once all works, you can proceed with tagging. Create the tag and push it (if
-   it's an RC, it can be ``0.xxrc1`` for instance):
+.. note::
+
+  Before building the wheels, make sure that the ``pyproject.toml`` file is
+  up to date and using the oldest version of ``numpy`` for each Python version
+  to avoid `ABI <https://en.wikipedia.org/wiki/Application_binary_interface>`_
+  incompatibility issues. Moreover, a new line have to be included in the
+  ``pyproject.toml`` file for each new supported version of Python.
+
+.. note::
+
+  The acronym CD in `[cd build]` stands for `Continuous Delivery
+  <https://en.wikipedia.org/wiki/Continuous_delivery>`_ and refers to the
+  automation used to generate the release artifacts (binary and source
+  packages). This can be seen as an extension to CI which stands for
+  `Continuous Integration
+  <https://en.wikipedia.org/wiki/Continuous_integration>`_. The CD workflow on
+  GitHub Actions is also used to automatically create nightly builds and
+  publish packages for the developement branch of scikit-learn. See
+  :ref:`install_nightly_builds`.
+
+4. Once all the CD jobs have completed successfully in the PR, merge it,
+   again with the `[cd build]` marker in the commit message. This time
+   the results will be uploaded to the staging area.
+
+   You should then be able to upload the generated artifacts (.tar.gz and .whl
+   files) to https://test.pypi.org using the "Run workflow" form for the
+   following GitHub Actions workflow:
+
+   https://github.com/scikit-learn/scikit-learn/actions?query=workflow%3A%22Publish+to+Pypi%22
+
+5. If this went fine, you can proceed with tagging. Proceed with caution.
+   Ideally, tags should be created when you're almost certain that the release
+   is ready, since adding a tag to the main repo can trigger certain automated
+   processes.
+
+   Create the tag and push it (if it's an RC, it can be ``0.xx.0rc1`` for
+   instance):
 
 
-     git tag -a 0.99  # in the 0.99.X branch
-     git push git@github.com:scikit-learn/scikit-learn.git 0.99
+     git tag -a 0.99.0  # in the 0.99.X branch
+     git push git@github.com:scikit-learn/scikit-learn.git 0.99.0
 
-.. note::
-  
-  Before building the wheels, make sure that the ``pyproject.toml`` file is
-  up to date and using the oldest version of ``numpy`` for each Python version
-  to avoid ABI incompatibility issues. Moreover, a new line have to be included
-  in the ``pyproject.toml`` file for each new supported version of Python.
+6. Trigger the GitHub Actions workflow again but this time to upload the artifacts
+   to the real https://pypi.org (replace "testpypi" by "pypi" in the "Run
+   workflow" form).
 
-4. Once the CD has completed successfully, collect the generated binary
-   wheel packages and upload them to PyPI by running the following commands
-   in the scikit-learn source folder (checked out at the release tag):
+7. Alternatively, it's possible to collect locally the generated binary wheel
+   packages and source tarball and upload them all to PyPI by running the
+   following commands in the scikit-learn source folder (checked out at the
+   release tag):
 
    .. prompt:: bash $
 
        rm -r dist
        pip install -U wheelhouse_uploader twine
        python setup.py fetch_artifacts
 
-   This command will download all the binary packages accumulated in the `staging area on the anaconda.org
-   hosting service <https://anaconda.org/scikit-learn-wheels-staging/scikit-learn/files>`_ and put them in
-   your local `./dist` folder.
+   This command will download all the binary packages accumulated in the
+   `staging area on the anaconda.org hosting service
+   <https://anaconda.org/scikit-learn-wheels-staging/scikit-learn/files>`_ and
+   put them in your local `./dist` folder.
 
-5. Check the content of the `./dist` folder: it should contain all the wheels
+   Check the content of the `./dist` folder: it should contain all the wheels
    along with the source tarball ("scikit-learn-RRR.tar.gz").
 
    Make sure that you do not have developer versions or older versions of
@@ -188,7 +262,7 @@ Making a release
 
        twine upload dist/*
 
-6. For major/minor (not bug-fix release), update the symlink for ``stable``
+8. For major/minor (not bug-fix release), update the symlink for ``stable``
    and the ``latestStable`` variable in
    https://github.com/scikit-learn/scikit-learn.github.io:
 
@@ -206,11 +280,20 @@ Making a release
        git commit -m "Update stable to point to 0.999"
        git push origin master
 
+.. _release_checklist:
+
+Release checklist
+.................
+
 The following GitHub checklist might be helpful in a release PR::
 
-    * [ ] update news and what's new date in master and release branch
-    * [ ] create tag
-    * [ ] twine the wheels to PyPI when that's green
+    * [ ] update news and what's new date in release branch
+    * [ ] update news and what's new date and sklearn dev0 version in master branch
+    * [ ] check that the for the release wheels can be built successfully
+    * [ ] merge the PR with `[cd build]` commit message to upload wheels to the staging repo
+    * [ ] upload the wheels and source tarball to https://test.pypi.org
+    * [ ] create tag on the main github repo
+    * [ ] upload the wheels and source tarball to PyPI
     * [ ] https://github.com/scikit-learn/scikit-learn/releases draft
     * [ ] confirm bot detected at
       https://github.com/conda-forge/scikit-learn-feedstock and wait for merge