From f7b32e0930ac5d649f83cec378d73ca8578a0246 Mon Sep 17 00:00:00 2001
From: aman-ebay <amancuso@google.com>
Date: Tue, 21 May 2019 11:07:08 -0700
Subject: [PATCH] Update python-api-walkthrough.md

---
 dataproc/python-api-walkthrough.md | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/dataproc/python-api-walkthrough.md b/dataproc/python-api-walkthrough.md
index 0004e2419cd..f64d7528601 100644
--- a/dataproc/python-api-walkthrough.md
+++ b/dataproc/python-api-walkthrough.md
@@ -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
@@ -121,7 +121,7 @@ Job output in Cloud Shell shows cluster creation, job submission,
      ...
      Creating cluster...
      Cluster created.
-     Uploading pyspark file to GCS
+     Uploading pyspark file to Cloud Storage.
      new-cluster-name - RUNNING
      Submitted job ID ...
      Waiting for job to finish...
@@ -140,12 +140,12 @@ Job output in Cloud Shell shows cluster creation, job submission,
 ### Next Steps:
 
 * **View job details from the Console.** View job details by selecting the
-   PySpark job from the Cloud Dataproc 
+   PySpark job from the Cloud Dataproc
    [Jobs page](https://console.cloud.google.com/dataproc/jobs)
    in the Google Cloud Platform Console.
 
 * **Delete resources used in the walkthrough.**
-   The `submit_job.py` job deletes the cluster that it created for this
+   The `submit_job_to_cluster.py` job deletes the cluster that it created for this
    walkthrough.
 
    If you created a bucket to use for this walkthrough,
@@ -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.
-