Add clarifying examples to note concerning tuple usage in multi-axis indexing

spec/API_specification/indexing.md

@@ -134,7 +134,11 @@ Multi-dimensional arrays must extend the concept of single-axis indexing to mult
 -   Each axis may be independently indexed via single-axis indexing by providing a comma-separated sequence ("selection tuple") of single-axis indexing expressions (e.g., `A[:, 2:10, :, 5]`).
 
     ```{note}
-    In Python, `x[(exp1, exp2, ..., expN)]` is equivalent to `x[exp1, exp2, ..., expN]`; the latter is syntactic sugar for the former.
+    In Python, `A[(exp1, exp2, ..., expN)]` is equivalent to `A[exp1, exp2, ..., expN]`; the latter is syntactic sugar for the former.
+
+    Accordingly, if `A` has rank `1`, then `A[(2:10,)]` must be equivalent to `A[2:10]`. If `A` has rank `2`, then `A[(2:10, :)]` must be equivalent to `A[2:10, :]`. And so on and so forth.
+
+    To access the value in a zero-dimensional array, one must provide an empty tuple; e.g., `A[()]`.
     ```
 
 -   Providing a single nonnegative integer `i` as a single-axis index must index the same elements as the slice `i:i+1`.