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Signed-off-by: Dmitry Chigarev <[email protected]>
dchigarev · Apr 15, 2024 · 8ccca0c · 8ccca0c
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diff --git a/docs/usage_guide/optimization_notes/index.rst b/docs/usage_guide/optimization_notes/index.rst
@@ -11,7 +11,7 @@ Range-partitioning in Modin
 
 Modin utilizes a range-partitioning approach for specific operations, significantly enhancing
 parallelism and reducing memory consumption in certain scenarios. Range-partitioning is typically
-engaged for operations that has key columns (to group on, to merge on, ...).
+engaged for operations that has key columns (to group on, to merge on, etc).
 
 You can enable `range-partitioning`_ by specifying ``cfg.RangePartitioning`` :doc:`configuration variable: </flow/modin/config>`
 
@@ -21,7 +21,7 @@ You can enable `range-partitioning`_ by specifying ``cfg.RangePartitioning`` :do
     import modin.config as cfg
 
     cfg.RangePartitioning.put(True) # past this point methods that support range-partitioning
-                                    # will use engage it
+                                    # will use it
 
     pd.DataFrame(...).groupby(...).mean() # use range-partitioning for groupby.mean()
 

diff --git a/docs/usage_guide/optimization_notes/range_partitioning_ops.rst b/docs/usage_guide/optimization_notes/range_partitioning_ops.rst
@@ -3,7 +3,7 @@
 Operations that support range-partitioning in Modin
 ###################################################
 
-The following operations change their behavior once ``cfg.RangePartitioning`` variable is set to True.
+The following operations change their behavior once ``cfg.RangePartitioning`` variable is set to ``True``.
 Go through the list find out when it could be beneficial to engage range-partitioning for a certain method.
 
 GroupBy