docs: cleanup URLs from docs and code comments (#13628)

* docs: cleanup URLs from docs and code comments

* another link

Author: glasnt

AUTHORING_GUIDE.md

@@ -68,7 +68,7 @@ We recommend using the Python version management tool
 [Pyenv](https://github.com/pyenv/pyenv) if you are using MacOS or Linux.
 
 **Googlers:** See [the internal Python policies
-doc](https://g3doc.corp.google.com/company/teams/cloud-devrel/dpe/samples/python.md?cl=head).
+doc](go/cloudsamples/language-guides/python).
 
 **Using MacOS?:** See [Setting up a Mac development environment with pyenv and
 pyenv-virtualenv](MAC_SETUP.md).

model_garden/anthropic/anthropic_batchpredict_with_bq.py

@@ -26,7 +26,7 @@ def generate_content(output_uri: str) -> str:
     # output_uri = f"bq://your-project.your_dataset.your_table"
 
     job = client.batches.create(
-        # Check Anthropic Claude region availability in https://cloud.devsite.corp.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions
+        # Check Anthropic Claude region availability in https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions
         # More about Anthropic model: https://console.cloud.google.com/vertex-ai/publishers/anthropic/model-garden/claude-3-5-haiku
         model="publishers/anthropic/models/claude-3-5-haiku",
         # The source dataset needs to be created specifically in us-east5

pubsublite/spark-connector/README.md

@@ -193,7 +193,7 @@ Here is an example output: <!--TODO: update attributes field output with the nex
 [Install Python and virtualenv]: https://cloud.google.com/python/setup/
 [Cloud Console for Dataproc]: https://console.cloud.google.com/dataproc/
 
-[Create Cluster]: https://pantheon.corp.google.com/dataproc/clustersAdd
+[Create Cluster]: https://console.cloud.google.com/dataproc/clustersAdd
 [Dataproc Image Version 1.5]: https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-1.5
 [Dataproc Image Version 2.0]: https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.0
 [compatibility]: gs://spark-lib/pubsublite/pubsublite-spark-sql-streaming-LATEST-with-dependencies.jar