Added the numpy issues to CHANGES.md (#33641)

* added the numpy issues to CHANGES.md

* updated the 2.61.0 release blog

* minor fixes

CHANGES.md

@@ -141,6 +141,11 @@
 
 * Fixed (CVE-2024-47561)[https://www.cve.org/CVERecord?id=CVE-2024-47561] (Java) by upgrading Avro version to 1.11.4
 
+## Known Issues
+
+* [Python] If you are using the official Apache Beam Python containers for version 2.62.0, be aware that they include NumPy version 1.26.4. It is strongly recommended that you explicitly specify numpy==1.26.4 in your project's dependency list. ([#33639](https://github.com/apache/beam/issues/33639)).
+
+
 # [2.61.0] - 2024-11-25
 
 ## Highlights
@@ -182,6 +187,7 @@
 
 * [Managed Iceberg] DataFile metadata is assigned incorrect partition values ([#33497](https://github.com/apache/beam/issues/33497)).
   * Fixed in 2.62.0
+* [Python] If you are using the official Apache Beam Python containers for version 2.61.0, be aware that they include NumPy version 1.26.4. It is strongly recommended that you explicitly specify numpy==1.26.4 in your project's dependency list. ([#33639](https://github.com/apache/beam/issues/33639)).
 
 # [2.60.0] - 2024-10-17
 

website/www/site/content/en/blog/beam-2.61.0.md

@@ -63,7 +63,9 @@ For more information on changes in 2.61.0, check out the [detailed release notes
 
 ## Known Issues
 
-N/A
+* [Managed Iceberg] DataFile metadata is assigned incorrect partition values ([#33497](https://github.com/apache/beam/issues/33497)).
+  * Fixed in 2.62.0
+* [Python] If you are using the official Apache Beam Python containers for version 2.61.0, be aware that they include NumPy version 1.26.4. It is strongly recommended that you explicitly specify numpy==1.26.4 in your project's dependency list. ([#33639](https://github.com/apache/beam/issues/33639)).
 
 For the most up to date list of known issues, see https://github.com/apache/beam/blob/master/CHANGES.md