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diff --git a/examples/src/main/python/streaming/hdfs_wordcount.py b/examples/src/main/python/streaming/hdfs_wordcount.py
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+ Counts words in new text files created in the given directory
+ Usage: hdfs_wordcount.py <directory>
+   <directory> is the directory that Spark Streaming will use to find and read new text files.
+
+ To run this on your local machine on directory `localdir`, run this example
+    $ bin/spark-submit examples/src/main/python/streaming/network_wordcount.py localdir
+
+ Then create a text file in `localdir` and the words in the file will get counted.
+"""
+
+import sys
+
+from pyspark import SparkContext
+from pyspark.streaming import StreamingContext
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print >> sys.stderr, "Usage: hdfs_wordcount.py <directory>"
+        exit(-1)
+
+    sc = SparkContext(appName="PythonStreamingHDFSWordCount")
+    ssc = StreamingContext(sc, 1)
+
+    lines = ssc.textFileStream(sys.argv[1])
+    counts = lines.flatMap(lambda line: line.split(" "))\
+                  .map(lambda x: (x, 1))\
+                  .reduceByKey(lambda a, b: a+b)
+    counts.pprint()
+
+    ssc.start()
+    ssc.awaitTermination()