Made the changes

Author: Shashwat1001

doc/source/user_guide/basics.rst

@@ -209,11 +209,12 @@ either match on the *index* or *columns* via the **axis** keyword:
    df.sub(column, axis="index")
    df.sub(column, axis=0)
 
-Be careful when using raw Python lists in binary operations with DataFrames.
-Unlike NumPy arrays or Series, lists are not broadcast across rows or columns.
-Instead, pandas attempts to match the entire list against a single axis, which may lead to confusing results such as Series of arrays.
-To ensure proper broadcasting behavior, use a NumPy array or Series with explicit index or shape.
-Furthermore you can align a level of a MultiIndexed DataFrame with a Series.
+Use .add(array, axis=0) to broadcast values row-wise, ensuring each element in the array is 
+applied to the corresponding row. This avoids accidental column alignment and preserves expected element-wise behavior.
+
+.. ipython:: python
+
+    df.add(np.array([1, 2, 3]), axis=0) 
 
 .. ipython:: python