└── README.md


/README.md:
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 1 | # Google Cloud Dataflow SDK for Python
 2 | 
 3 | Google Cloud Dataflow SDK for Python is based on [Apache Beam](https://beam.apache.org) and targeted for executing Python pipelines on Google Cloud Dataflow.
 4 | 
 5 | ## Getting Started
 6 | 
 7 | * [Quickstart Using Python](https://cloud.google.com/dataflow/docs/quickstarts/quickstart-python) on Google Cloud Dataflow
 8 | * [API Reference](https://beam.apache.org/documentation/sdks/pydoc/)
 9 | * [Examples](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples)
10 | 
11 | ## We moved to Apache Beam!
12 | Google Cloud Dataflow for Python is now Apache Beam Python SDK and the code development moved to the [Apache Beam repo](https://github.com/apache/beam/tree/master/sdks/python).
13 | 
14 | If you want to contribute to the project (please do!) use this [Apache Beam contributor's guide](http://beam.incubator.apache.org/contribution-guide/)
15 | 
16 | ## Contact Us
17 | 
18 | We welcome all usage-related questions on
19 | [Stack Overflow](https://stackoverflow.com/questions/tagged/google-cloud-dataflow)
20 | tagged with `google-cloud-dataflow`.
21 | 
22 | Please use the
23 | [issue tracker](https://issues.apache.org/jira/browse/BEAM/component/12328910)
24 | on Apache JIRA (sdk-py component) to report any bugs, comments or questions regarding SDK development.
25 | 


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