[beam] branch master updated: Adding links to PTransform Colab Notebook. (#26589)

[tv...@apache.org]

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tvalentyn pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
     new f0f4707bacf Adding links to PTransform Colab Notebook. (#26589)
f0f4707bacf is described below

commit f0f4707bacf4f86dee344fb91978363f3eff7b12
Author: Svetak Sundhar <sv...@google.com>
AuthorDate: Tue May 9 14:48:29 2023 -0400

    Adding links to PTransform Colab Notebook. (#26589)
---
 website/www/site/content/en/documentation/programming-guide.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/website/www/site/content/en/documentation/programming-guide.md b/website/www/site/content/en/documentation/programming-guide.md
index 6afa68fa193..8a135b9817a 100644
--- a/website/www/site/content/en/documentation/programming-guide.md
+++ b/website/www/site/content/en/documentation/programming-guide.md
@@ -160,6 +160,10 @@ Pipeline p = Pipeline.create(options);
 {{< code_sample "sdks/typescript/test/docs/programming_guide.ts" pipelines_constructing_creating >}}
 {{< /highlight >}}
 
+For a more in-depth tutorial on creating basic pipelines
+in the Python SDK, please read and work through
+[this colab notebook](https://colab.sandbox.google.com/github/apache/beam/blob/master/examples/notebooks/get-started/learn_beam_basics_by_doing.ipynb).
+
 ### 2.1. Configuring pipeline options {#configuring-pipeline-options}
 
 Use the pipeline options to configure different aspects of your pipeline, such
@@ -594,6 +598,10 @@ combine one or more of the core transforms in a useful processing pattern, such
 as counting or combining elements in a collection. You can also define your own
 more complex composite transforms to fit your pipeline's exact use case.
 
+For a more in-depth tutorial of applying various transforms
+in the Python SDK, please read and work through
+[this colab notebook](https://colab.sandbox.google.com/github/liferoad/beam/blob/learn-transforms/examples/notebooks/get-started/learn_beam_transforms_by_doing.ipynb).
+
 ### 4.1. Applying transforms {#applying-transforms}
 
 To invoke a transform, you must **apply** it to the input `PCollection`. Each