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6 changes: 3 additions & 3 deletions python/docs/source/development/contributing.rst
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ Contributing by Testing Releases
--------------------------------

Before the official release, PySpark release candidates are shared in the `dev@spark.apache.org <https://mail-archives.apache.org/mod_mbox/spark-dev/>`_ mailing list to vote on.
This release candidates can be easily installed via pip. For example, in case of Spark 3.0.0 RC1, you can install as below:
These release candidates can be easily installed via pip. For example, in case of Spark 3.0.0 RC1, you can install as below:

.. code-block:: bash

Expand All @@ -48,7 +48,7 @@ Contributing Documentation Changes

The release documentation is located under Spark's `docs <https://github.com/apache/spark/tree/master/docs>`_ directory.
`README.md <https://github.com/apache/spark/blob/master/docs/README.md>`_ describes the required dependencies and steps
to generate the documentations. Usually, PySpark documentation is tested with the command below
to generate the documentation. Usually, PySpark documentation is tested with the command below
under the `docs <https://github.com/apache/spark/tree/master/docs>`_ directory:

.. code-block:: bash
Expand Down Expand Up @@ -81,7 +81,7 @@ Additionally, there are a couple of additional notes to keep in mind when contri
Apache Spark is an unified engine that provides a consistent API layer. In general, the APIs are consistently supported across other languages.

* PySpark-specific APIs can be accepted
As long as they are Pythonic and do not conflict with other existent APIs, it is fine to raise a API request, for example, decorator usage of UDFs.
As long as they are Pythonic and do not conflict with other existent APIs, it is fine to raise an API request, for example, decorator usage of UDFs.

* Adjust the corresponding type hints if you extend or modify public API
See `Contributing and Maintaining Type Hints`_ for details.
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