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[MINOR] Add quotes to fix erroneous pip install command in SDP Prog Guide #54955

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[MINOR] Add quotes to fix erroneous pip install command in SDP Prog Guide #54955

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c34d18d
Add quotes to fix erroneous pip install command
suhuruli Mar 23, 2026
1611521
Update other instances which could use quotes around square brackets
suhuruli Mar 24, 2026
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2 changes: 1 addition & 1 deletion docs/declarative-pipelines-programming-guide.md
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Expand Up @@ -40,7 +40,7 @@ The key advantage of SDP is its declarative approach - you define what tables sh
A quick way to install SDP is with pip:

```
pip install pyspark[pipelines]
pip install "pyspark[pipelines]"
```

See the [downloads page](//spark.apache.org/downloads.html) for more installation options.
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6 changes: 3 additions & 3 deletions python/docs/source/getting_started/install.rst
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Expand Up @@ -47,11 +47,11 @@ If you want to install extra dependencies for a specific component, you can inst
.. code-block:: bash

# Spark SQL
pip install pyspark[sql]
pip install "pyspark[sql]"
# pandas API on Spark
pip install pyspark[pandas_on_spark] plotly # to plot your data, you can install plotly together.
pip install "pyspark[pandas_on_spark]" plotly # to plot your data, you can install plotly together.
# Spark Connect
pip install pyspark[connect]
pip install "pyspark[connect]"


See :ref:`optional-dependencies` for more detail about extra dependencies.
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2 changes: 1 addition & 1 deletion python/docs/source/tutorial/sql/arrow_pandas.rst
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Expand Up @@ -34,7 +34,7 @@ Ensure PyArrow Installed
To use Apache Arrow in PySpark, `the recommended version of PyArrow <arrow_pandas.rst#recommended-pandas-and-pyarrow-versions>`_
should be installed.
If you install PySpark using pip, then PyArrow can be brought in as an extra dependency of the
SQL module with the command ``pip install pyspark[sql]``. Otherwise, you must ensure that PyArrow
SQL module with the command ``pip install "pyspark[sql]"``. Otherwise, you must ensure that PyArrow
is installed and available on all cluster nodes.
You can install it using pip or conda from the conda-forge channel. See PyArrow
`installation <https://arrow.apache.org/docs/python/install.html>`_ for details.
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