[GitHub] [arrow-site] jorisvandenbossche commented on a diff in pull request #242: [Website] Version 10.0.0 release blog post

[GitBox <gi...@apache.org>]

jorisvandenbossche commented on code in PR #242:
URL: https://github.com/apache/arrow-site/pull/242#discussion_r999371508


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_posts/2022-10-17-10.0.0-release.md:
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@@ -209,10 +213,54 @@ Many important features, enhancements, and bug fixes are included in this releas
 
 ## Python notes
 
-The PyArrow-specific C++ code, previously part of Arrow C++ codebase, is now integrated into PyArrow. The tests are run automatically
-as part of the PyArrow test suite. See: [ARROW-16340](https://issues.apache.org/jira/browse/ARROW-16340) and  [ARROW-17122](https://issues.apache.org/jira/browse/ARROW-17122).
-The build process is not affected by the change but may have to be updated in future releases with the deprecation of
-`ARROW_PYTHON` CMake variable ([ARROW-17868](https://issues.apache.org/jira/browse/ARROW-17868)).
+Compatibility notes:
+
+* Some deprecated APIs (deprecated at least since pyarrow 1.0.0) have been removed: the
+  `RecordBatchReader get_next_batch` method, `DataType.num_children` attribute, etc
+  ([ARROW-17649](https://issues.apache.org/jira/browse/ARROW-17649)).
+* When writing to Arrow IPC file format with `pyarrow.dataset.write_dataset` using
+  `format="ipc"` or `format="arrow"`, the default extension for the resulting files is
+  changed to `.arrow` instead of `.feather`. You can still use `format="feather"` to
+  write identical files but using the `.feather` extension
+  ([ARROW-17089](https://issues.apache.org/jira/browse/ARROW-17089)).
+
+New features and improvements:
+
+* Filters in `pq.read_table()` can be passed as an expression in addition to the legacy
+  list of tuples. For example, `filters=pc.field("col") < 4` is equivalent to
+  `filters=[("col", "<", 4)]`
+  ([ARROW-17483](https://issues.apache.org/jira/browse/ARROW-17483)).
+* The `batch_readahead` and `fragment_readahead` arguments for scanning Datasets are
+  exposed in Python ([ARROW-17299](https://issues.apache.org/jira/browse/ARROW-17299)).
+* ExtensionArrays can now be created from a storage array through the `pa.array(..)`
+  constructor ([ARROW-17834](https://issues.apache.org/jira/browse/ARROW-17834)).
+* Converting ListArrays containing ExtensionArray values to numpy or pandas works by
+  falling back to the storage array
+  ([ARROW-17813](https://issues.apache.org/jira/browse/ARROW-17813)).
+* The `pyarrow.substrait.run_query()` function gained a `table_provider` keyword to run
+  the query against in-memory tables
+  ([ARROW-17521](https://issues.apache.org/jira/browse/ARROW-17521)).
+* The `StructType` class gained a `field()` method to retrieve a child field
+  ([ARROW-17131](https://issues.apache.org/jira/browse/ARROW-17131)).
+* Casting Tables to a new schema now honors the nullability flag in the target schema
+  ([ARROW-16651](https://issues.apache.org/jira/browse/ARROW-16651)).
+* Parquet files are now explicitly closed after reading
+  ([ARROW-13763](https://issues.apache.org/jira/browse/ARROW-13763)).
+
+Further, the Python bindings benefit from improvements in the C++ library
+(e.g. new compute functions); see the C++ notes above for additional details.
+
+**Build notes**
+
+The PyArrow-specific C++ code, previously part of Arrow C++ codebase, is now integrated
+into PyArrow. The tests are run automatically as part of the PyArrow test suite. See:
+[ARROW-16340](https://issues.apache.org/jira/browse/ARROW-16340) and
+[ARROW-17122](https://issues.apache.org/jira/browse/ARROW-17122).

Review Comment:
   Thanks!



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