diff --git a/100 Numpy exercises.ipynb b/100 Numpy exercises.ipynb
index fdb111b..dbfeb20 100644
--- a/100 Numpy exercises.ipynb	
+++ b/100 Numpy exercises.ipynb	
@@ -2157,9 +2157,13 @@
     "# Author: Robert Kern\n",
     "\n",
     "Z = np.random.randint(0,5,(10,3))\n",
-    "E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)\n",
-    "U = Z[~E]\n",
     "print(Z)\n",
+    "# solution for arrays of all dtypes (including string arrays and record arrays)\n",
+    "E = np.all(Z[:,1:] == Z[:,:-1], axis=1)\n",
+    "U = Z[~E]\n",
+    "print(U)\n",
+    "# soluiton for numerical arrays only, will work for any number of columns in Z\n",
+    "U = Z[Z.max(axis=1) != Z.min(axis=1),:]\n",
     "print(U)"
    ]
   },
diff --git a/100 Numpy exercises.md b/100 Numpy exercises.md
index 6ba7458..3bbc780 100644
--- a/100 Numpy exercises.md	
+++ b/100 Numpy exercises.md	
@@ -1119,9 +1119,13 @@ print(rows)
 # Author: Robert Kern
 
 Z = np.random.randint(0,5,(10,3))
-E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)
-U = Z[~E]
 print(Z)
+# solution for arrays of all dtypes (including string arrays and record arrays)
+E = np.all(Z[:,1:] == Z[:,:-1], axis=1)
+U = Z[~E]
+print(U)
+# soluiton for numerical arrays only, will work for any number of columns in Z
+U = Z[Z.max(axis=1) != Z.min(axis=1),:]
 print(U)
 ```