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\serializers.py", line 263, in dump_stream vs = list(itertools.islice(iterator, batch)) File "c:\spark\python\lib\pyspark.zip\pyspark\rdd.py", line 1306, in takeUpToNumLeft File "c:/sparkcourse/test-recommendation.py", line 8, in
ache.spark.api.python.PythonException: Traceback (most recent call last):
  File "c:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 172, in main
  File "c:\spark\python\lib\pyspark.zip\pyspark\worker.py", line 167, in process
  File "c:\spark\python\lib\pyspark.zip\pyspark\serializers.py", line 263, in dump_stream
    vs = list(itertools.islice(iterator, batch))
  File "c:\spark\python\lib\pyspark.zip\pyspark\rdd.py", line 1306, in takeUpToNumLeft
  File "c:/sparkcourse/test-recommendation.py", line 8, in get_counts_and_averages
    return ID_and_ratings_tuple[0], (nratings, float(sum(x for x in ID_and_ratings_tuple[1]))/nratings)
TypeError: unsupported operand type(s) for +: 'int' and 'str'	at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)	at org.apache.spark.api.python.PythonRunner$$anon$1.(PythonRDD.scala:234)	at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)	at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)	at org.apache.spark.scheduler.Task.run(Task.scala:85)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)	at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)	at java.lang.Thread.run(Unknown Source)