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9 changes: 4 additions & 5 deletions dataproc/python-api-walkthrough.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,12 +6,12 @@ Estimated completion time: <walkthrough-tutorial-duration duration="5"></walkthr

This [Cloud Shell](https://cloud.google.com/shell/docs/) walkthrough leads you
through the steps to use the
[Google APIs Client Library for Python](http://code.google.com/p/google-api-python-client/ )
[Google Cloud Client Libraries for Python](https://googleapis.github.io/google-cloud-python/latest/dataproc/index.html)
to programmatically interact with [Cloud Dataproc](https://cloud.google.com/dataproc/docs/).

As you follow this walkthrough, you run Python code that calls
[Cloud Dataproc REST API](https://cloud.google.com//dataproc/docs/reference/rest/)
methods to:
[Cloud Dataproc gRPC APIs](https://cloud.google.com/dataproc/docs/reference/rpc/)
to:

* create a Cloud Dataproc cluster
* submit a small PySpark word sort job to run on the cluster
Expand Down Expand Up @@ -121,7 +121,7 @@ Job output in Cloud Shell shows cluster creation, job submission,
...
Creating cluster...
Cluster created.
Uploading pyspark file to Cloud Storage
Uploading pyspark file to Cloud Storage.
new-cluster-name - RUNNING
Submitted job ID ...
Waiting for job to finish...
Expand Down Expand Up @@ -162,4 +162,3 @@ Job output in Cloud Shell shows cluster creation, job submission,

* **For more information.** See the [Cloud Dataproc documentation](https://cloud.google.com/dataproc/docs/)
for API reference and product feature information.