diff --git a/python/mxnet/metric.py b/python/mxnet/metric.py
index 60d1a69d..bc51e469 100644
--- a/python/mxnet/metric.py
+++ b/python/mxnet/metric.py
@@ -318,7 +318,7 @@ class CustomMetric(EvalMetric):
         The name of the metric
     allow_extra_outputs : bool
         If true, the prediction outputs can have extra outputs.
-        This is useful in RNN, where the states are also produced 
+        This is useful in RNN, where the states are also produced
         in outputs for forwarding.
     """
     def __init__(self, feval, name=None, allow_extra_outputs=False):
@@ -362,7 +362,7 @@ def np(numpy_feval, name=None, allow_extra_outputs=False):
         The name of the metric.
     allow_extra_outputs : bool
         If true, the prediction outputs can have extra outputs.
-        This is useful in RNN, where the states are also produced 
+        This is useful in RNN, where the states are also produced
         in outputs for forwarding.
     """
     def feval(label, pred):
diff --git a/python/mxnet/optimizer.py b/python/mxnet/optimizer.py
index 11f7d230..01263f64 100644
--- a/python/mxnet/optimizer.py
+++ b/python/mxnet/optimizer.py
@@ -268,7 +268,7 @@ def create_state(self, index, weight):
             return None
         else:
             return zeros(weight.shape, weight.context, dtype=weight.dtype)
-    
+
     def update(self, index, weight, grad, state):
         """Update the parameters.