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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/03/14 16:13:43 UTC
[GitHub] [beam] bullet03 opened a new pull request #17085: [BEAM-14077] [Website] add beam playground section
bullet03 opened a new pull request #17085:
URL: https://github.com/apache/beam/pull/17085
[BEAM-14077]
- add a new point: Beam Playground in Code Section
- add 2 bullet points in Beam Playground
------------------------
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[GitHub] [beam] pabloem merged pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
pabloem merged pull request #17085:
URL: https://github.com/apache/beam/pull/17085
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[GitHub] [beam] bullet03 commented on pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
bullet03 commented on pull request #17085:
URL: https://github.com/apache/beam/pull/17085#issuecomment-1067013805
R: @AydarZaynutdinov
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[GitHub] [beam] AKosolapov commented on a change in pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
AKosolapov commented on a change in pull request #17085:
URL: https://github.com/apache/beam/pull/17085#discussion_r826364097
##########
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.
+ You can try the available Apache Beam examples at [Beam Playground](http://play.beam.apache.org).
Review comment:
```suggestion
You can try the available Apache Beam examples at [Beam Playground](https://play.beam.apache.org).
```
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[GitHub] [beam] bullet03 commented on a change in pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
bullet03 commented on a change in pull request #17085:
URL: https://github.com/apache/beam/pull/17085#discussion_r827186590
##########
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:
changed
##########
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.
+ You can try the available Apache Beam examples at [Beam Playground](http://play.beam.apache.org).
Review comment:
changed
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[GitHub] [beam] dariabezkorovaina commented on pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
dariabezkorovaina commented on pull request #17085:
URL: https://github.com/apache/beam/pull/17085#issuecomment-1068547175
@pcoet please take a look:)
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[GitHub] [beam] AKosolapov commented on a change in pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
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.
```
--
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[GitHub] [beam] AKosolapov commented on a change in pull request #17085: [BEAM-14077] [Website] add beam playground section
Posted by GitBox <gi...@apache.org>.
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](https://play.beam.apache.org) is an interactive environment to try out Beam transforms and examples without having to install Apache Beam in your environment.
```
--
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