diff --git a/100_Numpy_exercises.md b/100_Numpy_exercises.md
index 14ae2c5..c3ff2cc 100644
--- a/100_Numpy_exercises.md
+++ b/100_Numpy_exercises.md
@@ -1156,6 +1156,11 @@ T = np.ascontiguousarray(Z).view(np.dtype((np.void, Z.dtype.itemsize * Z.shape[1
 _, idx = np.unique(T, return_index=True)
 uZ = Z[idx]
 print(uZ)
+
+# Author: Andreas Kouzelis
+# NumPy >= 1.13
+uZ = np.unique(Z, axis=0)
+print(uZ)
 ```
 
 #### 97. Considering 2 vectors A & B, write the einsum equivalent of inner, outer, sum, and mul function (★★★)
diff --git a/100_Numpy_exercises_with_hint.md b/100_Numpy_exercises_with_hint.md
index 43aaccb..e926efa 100644
--- a/100_Numpy_exercises_with_hint.md
+++ b/100_Numpy_exercises_with_hint.md
@@ -606,7 +606,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
 
 #### 96. Given a two dimensional array, how to extract unique rows? (★★★) 
 
-(**hint**: np.ascontiguousarray)
+(**hint**: np.ascontiguousarray | np.unique)