Review

Author: whhender

articles/data-lake-analytics/data-lake-analytics-u-sql-develop-with-python-r-csharp-in-vscode.md

@@ -8,26 +8,29 @@ ms.date: 11/22/2017
 ms.custom: devx-track-python
 ---
 # Develop U-SQL with Python, R, and C# for Azure Data Lake Analytics in Visual Studio Code
+
 Learn how to use Visual Studio Code (VSCode) to write Python, R and C# code behind with U-SQL and submit jobs to Azure Data Lake service. For more information about Azure Data Lake Tools for VSCode, see [Use the Azure Data Lake Tools for Visual Studio Code](data-lake-analytics-data-lake-tools-for-vscode.md).
 
 Before writing code-behind custom code, you need to open a folder or a workspace in VSCode.
 
 ## Prerequisites for Python and R
+
 Register Python and, R extensions assemblies for your ADL account. 
 1. Open your account in portal.
    - Select **Overview**. 
-   - Click **Sample Script**.
-2. Click **More**.
+   - Select **Sample Script**.
+2. Select **More**.
 3. Select **Install U-SQL Extensions**. 
 4. Confirmation message is displayed after the U-SQL extensions are installed. 
 
-   ![Set up the environment for Python and R](./media/data-lake-analytics-data-lake-tools-for-vscode/setup-the-enrionment-for-python-and-r.png)
+   :::image type="content" source="./media/data-lake-analytics-data-lake-tools-for-vscode/setup-the-enrionment-for-python-and-r.png" alt-text="Screenshots showing selecting Sample Scripts in Overview, selecting More and Install U-SQL Extensions." lightbox="./media/data-lake-analytics-data-lake-tools-for-vscode/setup-the-enrionment-for-python-and-r.png":::
 
    > [!Note]
    > For best experiences on Python and R language service, please install VSCode Python and R extension. 
 
 ## Develop Python file
-1. Click the **New File** in your workspace.
+
+1. Select the **New File** in your workspace.
 2. Write your code in U-SQL. The following is a code sample.
     ```U-SQL
     REFERENCE ASSEMBLY [ExtPython];
@@ -48,7 +51,7 @@ Register Python and, R extensions assemblies for your ADL account.
         TO "/tweetmentions.csv"
         USING Outputters.Csv();
     ```
-    
+
 3. Right-click a script file, and then select **ADL: Generate Python Code Behind File**. 
 4. The **xxx.usql.py** file is generated in your working folder. Write your code in Python file. The following is a code sample.
 
@@ -63,10 +66,11 @@ Register Python and, R extensions assemblies for your ADL account.
         del df['tweet']
         return df
     ```
-5. Right-click in **USQL** file, you can click **Compile Script** or **Submit Job** to running job.
+5. Right-click in **USQL** file, you can select **Compile Script** or **Submit Job** to running job.
 
 ## Develop R file
-1. Click the **New File** in your workspace.
+
+1. Select the **New File** in your workspace.
 2. Write your code in U-SQL file. The following is a code sample.
     ```U-SQL
     DEPLOY RESOURCE @"/usqlext/samples/R/my_model_LM_Iris.rda";
@@ -113,12 +117,13 @@ Register Python and, R extensions assemblies for your ADL account.
     load("my_model_LM_Iris.rda")
     outputToUSQL=data.frame(predict(lm.fit, inputFromUSQL, interval="confidence"))
     ```
-5. Right-click in **USQL** file, you can click **Compile Script** or **Submit Job** to running job.
+5. Right-click in **USQL** file, you can select **Compile Script** or **Submit Job** to running job.
 
 ## Develop C# file
+
 A code-behind file is a C# file associated with a single U-SQL script. You can define a script dedicated to UDO, UDA, UDT, and UDF in the code-behind file. The UDO, UDA, UDT, and UDF can be used directly in the script without registering the assembly first. The code-behind file is put in the same folder as its peering U-SQL script file. If the script is named xxx.usql, the code-behind is named as xxx.usql.cs. If you manually delete the code-behind file, the code-behind feature is disabled for its associated U-SQL script. For more information about writing customer code for U-SQL script, see [Writing and Using Custom Code in U-SQL: User-Defined Functions]( https://blogs.msdn.microsoft.com/visualstudio/2015/10/28/writing-and-using-custom-code-in-u-sql-user-defined-functions/).
 
-1. Click the **New File** in your workspace.
+1. Select the **New File** in your workspace.
 2. Write your code in U-SQL file. The following is a code sample.
     ```U-SQL
     @a = 
@@ -167,12 +172,13 @@ A code-behind file is a C# file associated with a single U-SQL script. You can d
         }
     }
     ```
-5. Right-click in **USQL** file, you can click **Compile Script** or **Submit Job** to running job.
+5. Right-click in **USQL** file, you can select **Compile Script** or **Submit Job** to running job.
 
 ## Next steps
-* [Use the Azure Data Lake Tools for Visual Studio Code](data-lake-analytics-data-lake-tools-for-vscode.md)
-* [U-SQL local run and local debug with Visual Studio Code](data-lake-tools-for-vscode-local-run-and-debug.md)
-* [Get started with Data Lake Analytics using PowerShell](data-lake-analytics-get-started-powershell.md)
-* [Get started with Data Lake Analytics using the Azure portal](data-lake-analytics-get-started-portal.md)
-* [Use Data Lake Tools for Visual Studio for developing U-SQL applications](data-lake-analytics-data-lake-tools-get-started.md)
-* [Use Data Lake Analytics(U-SQL) catalog](./data-lake-analytics-u-sql-get-started.md)
+
+- [Use the Azure Data Lake Tools for Visual Studio Code](data-lake-analytics-data-lake-tools-for-vscode.md)
+- [U-SQL local run and local debug with Visual Studio Code](data-lake-tools-for-vscode-local-run-and-debug.md)
+- [Get started with Data Lake Analytics using PowerShell](data-lake-analytics-get-started-powershell.md)
+- [Get started with Data Lake Analytics using the Azure portal](data-lake-analytics-get-started-portal.md)
+- [Use Data Lake Tools for Visual Studio for developing U-SQL applications](data-lake-analytics-data-lake-tools-get-started.md)
+- [Use Data Lake Analytics(U-SQL) catalog](./data-lake-analytics-u-sql-get-started.md)