Update next_release

2 files changed, 29 insertions, 10 deletions

diff --git a/.github/next_release.md b/.github/next_release.md
index a2805a55..188dd87f 100644
--- a/.github/next_release.md
+++ b/.github/next_release.md
@@ -1,19 +1,36 @@
-We are pleased to announce the release 3.X.X of the GUDHI library.
+We are pleased to announce the release 3.3.0 of the GUDHI library.
 
-As a major new feature, the GUDHI library now offers ...
+As a major new feature, the GUDHI library now offers 
 
-We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz).
+We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.3.0.tar.gz).
 
-Below is a list of changes made since GUDHI 3.X-1.X-1:
+Below is a list of changes made since GUDHI 3.2.0:
 
-- [Module](link)
-     - ...
+- [DTM density estimator](https://gudhi.inria.fr/python/latest/point_cloud.html#module-gudhi.point_cloud.dtm)
+     - Python implementation of a density estimator based on the distance to the empirical measure defined by a point set.
 
-- [Module](link)
-     - ...
+- [DTM Rips complex](https://gudhi.inria.fr/python/latest/rips_complex_user.html#dtm-rips-complex)
+     - This Python implementation constructs a weighted Rips complex giving larger weights to outliers,
+     which reduces their impact on the persistence diagram
+
+- [Alpha complex](https://gudhi.inria.fr/python/latest/alpha_complex_user.html) - Python interface improvements
+     - 'fast' and 'exact' computations
+     - Delaunay complex construction by not setting filtration values
+     - Use the specific 3d alpha complex automatically to make the computations faster
+
+- [Clustering](https://gudhi.inria.fr/python/latest/clustering.html)
+     - Python implementation of [ToMATo](https://doi.org/10.1145/2535927), a persistence-based clustering algorithm
+
+- [Bottleneck distance](https://gudhi.inria.fr/python/latest/bottleneck_distance_user.html)
+     - Python interface to [hera](https://github.com/grey-narn/hera)'s bottleneck distance
+
+- Representations - Python interface change
+     - [Wasserstein metrics](https://gudhi.inria.fr/python/latest/representations.html#gudhi.representations.metrics.WassersteinDistance)
+     is now [hera](https://github.com/grey-narn/hera) by default
 
 - Miscellaneous
-     - The [list of bugs that were solved since GUDHI-3.X-1.X-1](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.1.1+is%3Aclosed) is available on GitHub.
+     - The [list of bugs that were solved since GUDHI-3.2.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.3.0+is%3Aclosed)
+     is available on GitHub.
 
 All modules are distributed under the terms of the MIT license.
 However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details.
diff --git a/CMakeGUDHIVersion.txt b/CMakeGUDHIVersion.txt
index b9895bb1..a78b8adc 100644
--- a/CMakeGUDHIVersion.txt
+++ b/CMakeGUDHIVersion.txt
@@ -1,6 +1,8 @@
+# Must be conform to pep440 - https://www.python.org/dev/peps/pep-0440/#pre-releases
 set (GUDHI_MAJOR_VERSION 3)
 set (GUDHI_MINOR_VERSION 3)
-set (GUDHI_PATCH_VERSION 0.rc1)
+# GUDHI_PATCH_VERSION can be 'ZaN' for Alpha release, 'ZbN' for Beta release, 'ZrcN' for release candidate or 'Z' for a final release.
+set (GUDHI_PATCH_VERSION 0rc1)
 set(GUDHI_VERSION ${GUDHI_MAJOR_VERSION}.${GUDHI_MINOR_VERSION}.${GUDHI_PATCH_VERSION})
 
 message(STATUS "GUDHI version : ${GUDHI_VERSION}")