This is a working example running on wsgi,

s.environ['SPARK_HOME'] = "C:\Apache\spark-1.4.1"

ys.path.append("C:\Apache\spark-1.4.1\python")

from pyspark import SparkContext from pyspark import SparkConf from pyspark.sql import SQLContext

except when using mod_wsgi where it must be "application" def application(environ, start_response):

 # Initialize SparkContext
 sc = SparkContext('local')
 words = sc.parallelize(["scala","java","hadoop","spark","akka"])
 count = words.count()
 #print count

 sc.stop()

 response_body = "Successfully imported Spark Modules and the total words are: " + str(count)

 # HTTP response code and message
 status = '200 OK'

 # These are HTTP headers expected by the client.
 # They must be wrapped as a list of tupled pairs:
 # [(Header name, Header value)].
 response_headers = [('Content-Type', 'text/plain'),
                    ('Content-Length', str(len(response_body)))]

 # Send them to the server using the supplied function
 start_response(status, response_headers)

 # Return the response body.
 # Notice it is wrapped in a list although it could be any iterable.
 return [response_body]</pre>