AlenkaF commented on code in PR #500:
URL: https://github.com/apache/arrow-site/pull/500#discussion_r1581047237
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_posts/2024-04-20-16.0.0-release.md:
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+---
+layout: post
+title: "Apache Arrow 16.0.0 Release"
+date: "2024-04-20 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.
+The ASF licenses this file to you under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+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 16.0.0 release. This covers
+over 3 months of development work and includes [**385 resolved issues**][1]
+on [**586 distinct commits**][2] from [**119 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].
+
+## Community
+
+Since the 15.0.0 release, Jeffrey Vo, Jay Zhan, Bryce Mecum and Sarah Gilmore
+have been invited to be committers.
+No new members have joined the Project Management Committee (PMC).
+
+Thanks for your contributions and participation in the project!
+
+## C Data Interface notes
+
+
+## Arrow Flight RPC notes
+
+
+## C++ notes
+
+
+### Parquet
+
+### Miscellaneous
+
+## C# notes
+
+## Go Notes
+
+### Bug Fixes
+
+#### Arrow
+
+#### Parquet
+
+### Enhancements
+
+#### Arrow
+
+#### Parquet
+
+### Bug Fixes
+
+### Enhancements
+
+## Java notes
+
+## JavaScript notes
+
+## Python notes
Review Comment:
```suggestion
## Python notes
Compatibility notes:
* To ensure PyArrow compatibility with NumPy 2.0 umbrella issue has been
closed [GH-39532](https://github.com/apache/arrow/issues/39532) with last
issues included in 16.0.0 Arrow release
([GH-41098](https://github.com/apache/arrow/issues/41098),
[GH-39848](https://github.com/apache/arrow/issues/39848) and
[GH-40376](https://github.com/apache/arrow/issues/40376)).
* We no longer use internals to create Block objects and started using new
pandas API with pandas version 3
[GH-35081](https://github.com/apache/arrow/issues/35081)
* Pandas compatibility code has been simplified as old pandas and Python
versions are not supported anymore
[GH-40720](https://github.com/apache/arrow/issues/40720)
* Deprecated `pyarrow.filesystem` legacy implementations have been removed
[GH-20127](https://github.com/apache/arrow/issues/20127)
New features:
* Converting Arrow `Table` and `RecordBatch` to a `Tensor` (not the same as
[tensor extension
array](https://arrow.apache.org/docs/dev/format/CanonicalExtensions.html#official-list))
is being developed in Arrow C++ with bindings in Python. Umbrella issue:
([GH-40058](https://github.com/apache/arrow/issues/40058)). In current release
the option to convert a `RecordBatch` to `Tensor` with
`pyarrow.RecordBatch.to_tensor(...)` is added returning a row or column major
tensor with an option of writing missing values as `NaN` in the result.
* `ListView` and `LargeListView` array formats are now supported by PyArrow
([GH-39812](https://github.com/apache/arrow/issues/39812),
[GH-39855](https://github.com/apache/arrow/issues/39855),
[GH-40205](https://github.com/apache/arrow/issues/40205),
[GH-41039](https://github.com/apache/arrow/issues/41039),
[GH-40266](https://github.com/apache/arrow/issues/40266))
* `Binary` and `StringView` are now supported in PyArrow
([GH-39651](https://github.com/apache/arrow/issues/39651),
[GH-39852](https://github.com/apache/arrow/issues/39852),
[GH-40092](https://github.com/apache/arrow/issues/40092))
* Final support for Run-End Encoded arrays in PyArrow has been included
(conversion to numpy and pandas
[GH-40659](https://github.com/apache/arrow/issues/40659), construction in
`pa.array(...)` [GH-40273](https://github.com/apache/arrow/issues/40273))
* `AsofJoinNode` C++ functionality is now exposed in Python as a `join_asof`
[GH-34235](https://github.com/apache/arrow/issues/34235)
* Minimal python bindings are added for AzureFilesystem
[GH-39968](https://github.com/apache/arrow/issues/39968)
* `FixedSizeTensorScalar` class is added
[GH-37484](https://github.com/apache/arrow/issues/37484)
Other improvements:
* Add ChunkedArray import/export to/from C
[GH-39984](https://github.com/apache/arrow/issues/39984)
* `pyarrow.Field` and `pyarrow.ChunkedArray` can now be constructed from
objects supporting the PyCapsule Arrow C Data Interface
[GH-38010](https://github.com/apache/arrow/issues/38010)
* Requested_schema is supported in `__arrow_c_stream__` implementations
[GH-40066](https://github.com/apache/arrow/issues/40066)
* Add low-level bindings for exporting/importing the C Device Interface
[GH-39979](https://github.com/apache/arrow/issues/39979)
* Function to download and extract timezone database on a Windows machine is
added [GH-37328](https://github.com/apache/arrow/issues/37328)
* Missing methods are added to `pyarrow.RecordBatch`
[GH-30915](https://github.com/apache/arrow/issues/30915)
* Dictionary is now also accepted in `pyarrow.record_batch` factory function
(as in `pyarrow.table`) [GH-40291](https://github.com/apache/arrow/issues/40291)
* Usage of scalar legacy cast has been removed
[GH-40023](https://github.com/apache/arrow/issues/40023)
* Missing byte_width attribute are added to all DataType classes
[GH-39277](https://github.com/apache/arrow/issues/39277)
* `FileInfo` instances can now be used to construct Dataset objects
[GH-40142](https://github.com/apache/arrow/issues/40142)
* Support hashing for `FileMetaData` and `ParquetSchema`
[GH-39780](https://github.com/apache/arrow/issues/39780)
* `force_virtual_addressing` is exposed in PyArrow
[GH-39779](https://github.com/apache/arrow/issues/39779)
Relevant bug fixes:
* Calling `pyarrow.dataset.ParquetFileFormat.make_write_options` as a class
method now returns a warning
[GH-39440](https://github.com/apache/arrow/issues/39440)
* `ScalarMemoTable`is now initiated only when deduplication is enabled which
fixes large memory consumption in the other case
[GH-40316](https://github.com/apache/arrow/issues/40316)
* Slicing an array backwards beyond the start doesn't include first item
([GH-38768](https://github.com/apache/arrow/issues/38768) and
[GH-40642](https://github.com/apache/arrow/issues/40642))
* Memory leaks when creating Arrow array from Python list of dicts is fixed
[GH-37989](https://github.com/apache/arrow/issues/37989)
* `FixedSizeListType` has not been considered as a nested type and is now
added to `_NESTED_TYPES`
[GH-40171](https://github.com/apache/arrow/issues/40171)
* `max_chunksize` is now validated in `Table.to_batches`
[GH-39788](https://github.com/apache/arrow/issues/39788)
* Raising `ValueError` on `_ensure_partitioning`in Dataset is fixed
[GH-39579](https://github.com/apache/arrow/issues/39579)
* Python stacktrace is now attached to errors in `ConvertPyError`
[GH-37164](https://github.com/apache/arrow/issues/37164)
```
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