diff --git a/examples/numpyarrays/examply.nim b/examples/numpyarrays/examply.nim
index 0c45278..604f941 100644
--- a/examples/numpyarrays/examply.nim
+++ b/examples/numpyarrays/examply.nim
@@ -32,8 +32,8 @@ proc parallelIndexedForOp*(x: NumpyArray[float64]) : NumpyArray[float64] {.expor
   result = initNumpyArray[float64](x.shape)
 
   fuseLoops("parallel for"):
-    for i in 0..(x.shape[0]-1):
-      for j in 0..(x.shape[1]-1):
+    for i in 0..<x.shape[0]:
+      for j in 0..<x.shape[1]:
         result[i, j] = doStuff x[i, j]
 
 proc normalForOp*(x: NumpyArray[float64]) : NumpyArray[float64] {.exportpy.} =
diff --git a/scinim/numpyarrays.nim b/scinim/numpyarrays.nim
index bb3b2da..151b9b3 100644
--- a/scinim/numpyarrays.nim
+++ b/scinim/numpyarrays.nim
@@ -288,10 +288,10 @@ template `[]=`*[T](ndArray: NumpyArray[T], idx: varargs[int], val: T) =
 
 # Is this worth it ?
 template `{}`*[T](ndArray: NumpyArray[T], idx: int): T =
-  atContiguousIndex(ndArray, idx)
+  toUnsafeView(ndArray)[idx]
 
 template `{}=`*[T](ndArray: NumpyArray[T], idx: int, val: T) =
-  atContiguousIndex(ndArray, idx) = val
+  toUnsafeView(ndArray)[idx] = val
 
 {.pop.}
 {.pop.}