Address comments in PR.

Author: TimShererWithAquent

articles/data-factory/quickstart-create-data-factory-python.md

@@ -23,15 +23,15 @@ ms.custom: seo-python-october2019
 
 In this quickstart, you create a data factory by using Python. The pipeline in this data factory copies data from one folder to another folder in Azure Blob storage.
 
-Azure Data Factory is a cloud-based data integration service. This service allows you to create data-driven workflows for orchestrating and automating data movement and data transformation. Using Azure Data Factory, you can create and schedule data-driven workflows, called pipelines.
+Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows for orchestrating and automating data movement and data transformation. Using Azure Data Factory, you can create and schedule data-driven workflows, called pipelines.
 
 Pipelines can ingest data from disparate data stores. Pipelines process or transform data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning. Pipelines publish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications.
 
 ## Prerequisites
 
 * An Azure account with an active subscription. [Create one for free](https://azure.microsoft.com/free/?ref=microsoft.com&utm_source=microsoft.com&utm_medium=docs&utm_campaign=visualstudio).
 
-* [Python](https://www.python.org/downloads/) version 3.4 or more recent.
+* [Python 3.4+](https://www.python.org/downloads/).
 
 * [An Azure Storage account](../storage/common/storage-account-create.md).