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Minor: Announce DataFrame API leaving experimental in 2.32.0 #15053

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Jun 25, 2021
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Minor: Announce DataFrame API leaving experimental in 2.32.0 #15053

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Add DataFrame API announcement
TheNeuralBit Jun 21, 2021
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TheNeuralBit Jun 22, 2021
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19 changes: 18 additions & 1 deletion CHANGES.md
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Expand Up @@ -49,9 +49,26 @@
# [2.32.X] - Unreleased

## Highlights

* New highly anticipated feature X added to Python SDK ([BEAM-X](https://issues.apache.org/jira/browse/BEAM-X)).
* New highly anticipated feature Y added to Java SDK ([BEAM-Y](https://issues.apache.org/jira/browse/BEAM-Y)).
* The [Beam DataFrame
API](https://beam.apache.org/documentation/dsls/dataframes/overview/) is no
longer experimental! We've spent the time since the [2.32.0 preview
announcement](https://beam.apache.org/blog/dataframe-api-preview-available/)
implementing the most frequently used pandas operations
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([BEAM-9547](https://issues.apache.org/jira/browse/BEAM-9547)), improving
[documentation](https://beam.apache.org/releases/pydoc/current/apache_beam.dataframe.html)
and [error messages](https://issues.apache.org/jira/browse/BEAM-12028),
adding
[examples](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/dataframe),
integrating DataFrames with [interactive
Beam](https://beam.apache.org/releases/pydoc/current/apache_beam.runners.interactive.interactive_beam.html),
and of course finding and fixing [bugs](TODO: Search for fixed bugs in
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dsls-dataframe-api). Leaving experimental just means that we now have high
confidence in the API and recommend its use for production workloads. We will
continue to improve the API, guided by your
[feedback](https://beam.apache.org/community/contact-us/).


## I/Os

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