HyukjinKwon commented on code in PR #46096:
URL: https://github.com/apache/spark/pull/46096#discussion_r1568485173


##########
python/docs/source/getting_started/install.rst:
##########
@@ -165,16 +168,117 @@ To install PySpark from source, refer to 
|building_spark|_.
 
 Dependencies
 ------------
-========================== ========================= 
======================================================================================
-Package                    Supported version Note
-========================== ========================= 
======================================================================================
-`py4j`                     >=0.10.9.7                Required
-`pandas`                   >=1.4.4                   Required for pandas API 
on Spark and Spark Connect; Optional for Spark SQL
-`pyarrow`                  >=10.0.0                  Required for pandas API 
on Spark and Spark Connect; Optional for Spark SQL
-`numpy`                    >=1.21                    Required for pandas API 
on Spark and MLLib DataFrame-based API; Optional for Spark SQL
-`grpcio`                   >=1.62.0                  Required for Spark Connect
-`grpcio-status`            >=1.62.0                  Required for Spark Connect
-`googleapis-common-protos` >=1.56.4                  Required for Spark Connect
-========================== ========================= 
======================================================================================
+
+Required dependencies
+~~~~~~~~~~~~~~~~~~~~~
+
+PySpark requires the following dependencies.
+
+========================== ========================= 
============================================
+Package                    Supported version         Note
+========================== ========================= 
============================================
+`py4j`                     >=0.10.9.7                Essential for Python to 
interface with the
+                                                     Java objects in Spark; 
ensures seamless
+                                                     interaction between 
Python and JVM.
+========================== ========================= 
============================================
+
+Additional libraries that enhance functionality but are not included in the 
installation packages:
+
+- **memory-profiler**: Useful for diagnosing and analyzing memory usage in 
PySpark applications.
 
 Note that PySpark requires Java 17 or later with ``JAVA_HOME`` properly set 
and refer to |downloading|_.
+
+
+.. _optional-dependencies:
+
+Optional dependencies
+~~~~~~~~~~~~~~~~~~~~~
+
+PySpark has several optional dependencies that enhance its functionality for 
specific modules.
+These dependencies are only required for certain features and are not 
necessary for the basic functionality of PySpark.
+If these optional dependencies are not installed, PySpark will function 
correctly for basic operations but will raise an ``ImportError``
+when you try to use features that require these dependencies.
+
+Spark SQL
+^^^^^^^^^
+
+Installable with ``pip install "pyspark[sql]"``.
+
+========= ================= 
==================================================================
+Package   Supported version Note
+========= ================= 
==================================================================
+`pandas`  >=1.4.4           Enables seamless DataFrame operations between 
Spark and Pandas.
+`pyarrow` >=10.0.0          Optimizes data conversion and transfer between 
PySpark and Pandas.

Review Comment:
   ```suggestion
   `pyarrow` >=10.0.0          For faster data conversion/transfer between 
PySpark and pandas.
   ```



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