address comments

Signed-off-by: Naren Krishna <[email protected]>

CHANGELOG.md

@@ -50,7 +50,7 @@
 - When parsing data types during a `to_pandas` operation, we rely on GS precision value to fix precision issues for large integer values. This may affect users where a column that was earlier returned as `int8` gets returned as `int64`. Users can fix this by explicitly specifying precision values for their return column.
 - Aligned behavior for `Session.call` in case of table stored procedures where running `Session.call` would not trigger stored procedure unless a `collect()` operation was performed.
 - `StoredProcedureRegistration` will now automatically add `snowflake-snowpark-python` as a package dependency. The added dependency will be on the client's local version of the library and an error is thrown if the server cannot support that version.
-- Support for optional `date_part` argument in Snowpark function `last_day`
+- Added support for an optional `date_part` argument in function `last_day`
 
 ## 1.11.1 (2023-12-07)
 

src/snowflake/snowpark/functions.py

@@ -3249,6 +3249,11 @@ def last_day(expr: ColumnOrName, part: Optional[ColumnOrName] = "MONTH") -> Colu
     Returns the last day of the specified date part for a date or timestamp.
     Commonly used to return the last day of the month for a date or timestamp.
 
+    Args:
+        expr: The array column
+        part: The date part used to compute the last day of the given array column, default is "MONTH".
+            Valid values are "YEAR", "MONTH", "QUARTER", "WEEK" or any of their supported variations.
+
     Example::
 
         >>> import datetime