Github user zentol commented on a diff in the pull request:

    https://github.com/apache/flink/pull/202#discussion_r23955578
  
    --- Diff: docs/python_programming_guide.md ---
    @@ -0,0 +1,600 @@
    +---
    +title: "Python Programming Guide"
    +---
    +<!--
    +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.
    +-->
    +
    +* This will be replaced by the TOC
    +{:toc}
    +
    +
    +<a href="#top"></a>
    +
    +Introduction
    +------------
    +
    +Analysis programs in Flink are regular programs that implement 
transformations on data sets
    +(e.g., filtering, mapping, joining, grouping). The data sets are initially 
created from certain
    +sources (e.g., by reading files, or from collections). Results are 
returned via sinks, which may for
    +example write the data to (distributed) files, or to standard output (for 
example the command line
    +terminal). Flink programs run in a variety of contexts, standalone, or 
embedded in other programs.
    +The execution can happen in a local JVM, or on clusters of many machines.
    +
    +In order to create your own Flink program, we encourage you to start with 
the
    +[program skeleton](#program-skeleton) and gradually add your own
    +[transformations](#transformations). The remaining sections act as 
references for additional
    +operations and advanced features.
    +
    +
    +Example Program
    +---------------
    +
    +The following program is a complete, working example of WordCount. You can 
copy &amp; paste the code
    +to run it locally.
    +
    +{% highlight python %}
    +from flink.plan.Environment import get_environment
    +from flink.plan.Constants import INT, STRING
    +from flink.functions.GroupReduceFunction import GroupReduceFunction
    +
    +class Adder(GroupReduceFunction):
    +  def reduce(self, iterator, collector):
    +    count, word = iterator.next()
    +    count += sum([x[0] for x in iterator])
    +    collector.collect((count, word))
    +
    +if __name__ == "__main__":
    +  env = get_environment()
    +  data = env.from_elements("Who's there?",
    +   "I think I hear them. Stand, ho! Who's there?")
    +  
    +  data \
    +    .flat_map(lambda x: x.lower().split(), (INT, STRING)) \
    +    .group_by(1) \
    +    .reduce_group(Adder(), (INT, STRING), combinable=True) \
    +    .output()
    +  
    +  env.execute()
    +}
    --- End diff --
    
    fixed


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