tadeja commented on code in PR #807:
URL: https://github.com/apache/arrow-site/pull/807#discussion_r3759338382
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_posts/2026-08-10-25.0.1-release.md:
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+---
+layout: post
+title: "Apache Arrow 25.0.1 Release"
+date: "2026-08-10 00:00:00"
+author: pmc
+categories: [release]
+---
+<!--
+{% comment %}
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements. See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
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+(the "License"); you may not use this file except in compliance with
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+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+{% endcomment %}
+-->
+
+
+The Apache Arrow team is pleased to announce the 25.0.1 release.
+The 25.0.1 release is mostly a bugfix release that includes [**9 resolved
issues**][1]
+on [**10 distinct commits**][2] from [**6 distinct contributors**][2].
+
+See the [Install Page](https://arrow.apache.org/install/) to
+learn how to get the libraries for your platform.
+
+The release notes below are not exhaustive and only expose selected highlights
+of the release. Many other bugfixes and improvements have been made: we refer
+you to the [complete changelog][3].
+
+## C++ notes
+
+* Fix possible Segfault on SVE128 unpack
([GH-50503](https://github.com/apache/arrow/issues/50503)),
+ ([GH-50605](https://github.com/apache/arrow/issues/50605)).
+* Bump bundled mimalloc to fix possible Segfault with bundled mimalloc
([GH-50471](https://github.com/apache/arrow/issues/50471)),
+ ([GH-50428](https://github.com/apache/arrow/issues/50428)).
+
+## Python notes
+
+* Add performance improvement in order to solve Apache Spark's
+ performance regression on their switch from regular Python UDFs to
+ Arrow serialization by default
([GH-50326](https://github.com/apache/arrow/issues/50326)).
+* Narrow the Feather deprecation to V1 format only
([GH-50808](https://github.com/apache/arrow/issues/50808)).
Review Comment:
```suggestion
* Correct and narrow the Feather deprecation warnings added in 25.0.0 to the
legacy V1 format only. Reading and writing Feather V2 with `pyarrow.feather` no
longer emit warnings, while V1 reads and writes emit `DeprecationWarning`
instead of `FutureWarning`
([GH-50808](https://github.com/apache/arrow/issues/50808)).
```
@raulcd, sorry for delay - perhaps if expanding a bit like this makes sense
to you, otherwise no need to change
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