AKosolapov commented on a change in pull request #17085: URL: https://github.com/apache/beam/pull/17085#discussion_r826362208
########## File path: website/www/site/content/en/documentation/resources/learning-resources.md ########## @@ -141,6 +141,12 @@ complexity. Beam Katas are available for both Java and Python SDKs. * **[Snippets](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/cookbook)** - Commonly-used data analysis patterns such as how to use [BigQuery](https://cloud.google.com/bigquery), [Datastore](https://cloud.google.com/datastore/), coders, combiners, filters, custom PTransforms, etc. * **[Complete Examples](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/complete)** - End-to-end example pipelines such as an auto complete, getting mobile gaming statistics, calculating the [Julia set](https://en.wikipedia.org/wiki/Julia_set), solving distributing optimization tasks, estimating PI, calculating the Term Frequency-Inverse Document Frequency ([TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf)), getting the top Wikipedia sessions, etc. +### Beam Playground + +* Beam Playground is an interactive environment to try out Beam transforms and examples without having to install Apache Beam in your environment. Review comment: ```suggestion * [Beam Playground](http://play.beam.apache.org) is an interactive environment to try out Beam transforms and examples without having to install Apache Beam in your environment. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
