MsSQLGirl
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@@ -4,7 +4,7 @@ description: Run SQL Server command line setup to add R language and Python inte
 ms.prod: sql
 ms.technology: machine-learning
 
-ms.date: 08/21/2018  
+ms.date: 03/13/2019  
 ms.topic: conceptual
 author: HeidiSteen
 ms.author: heidist
@@ -52,7 +52,7 @@ When installing through the command prompt, [!INCLUDE[ssNoVersion](../../include
 | /IACCEPTPYTHONLICENSETERMS | Indicates you have accepted the license terms for using the Python components. |
 | /IACCEPTSQLSERVERLICENSETERMS | Indicates you have accepted the license terms for using SQL Server.|
 | /MRCACHEDIRECTORY | For offline setup, sets the folder containing the R component CAB files. |
-| /MPYCACHEDIRECTORY | For offline setup, sets the folder containing the Python component CAB files. |
+| /MPYCACHEDIRECTORY | Reserved for future use. Use %TEMP% to store Python component CAB files for installation on computers that do not have an internet connection. |
 
 
 ## <a name="indb"></a> In-database instance installations
@@ -127,13 +127,13 @@ Setup.exe /qs /ACTION=Install /FEATURES=SQL_INST_MR /INSTANCENAME=MSSQLSERVER
 
 ## <a name="silent"></a> Silent install
 
-A silent installation suppresses the check for .cab file locations. For this reason, you must specify the location where .cab files are to be unpacked. You can the temp directory for this.
+A silent installation suppresses the check for .cab file locations. For this reason, you must specify the location where .cab files are to be unpacked. For Python, CAB files must be located in %TEMP*. For R, you can set the folder path using You can the temp directory for this.
 
 ```cmd  
 Setup.exe /q /ACTION=Install /FEATURES=SQLEngine,ADVANCEDANALYTICS,SQL_INST_MR,SQL_INST_MPY 
 /INSTANCENAME=MSSQLSERVER /SQLSYSADMINACCOUNTS="<username>" 
 /IACCEPTSQLSERVERLICENSETERMS /IACCEPTROPENLICENSETERMS /IACCEPTPYTHONLICENSETERMS 
-/MRCACHEDIRECTORY=%temp% /MPYCACHEDIRECTORY=%temp%
+/MRCACHEDIRECTORY=%temp% 
 ```
 
 ## <a name="shared-feature"></a> Standalone server installations
 
@@ -4,7 +4,7 @@ description: Offline or disconnected Machine Learning R and Python setup on isol
 ms.prod: sql
 ms.technology: machine-learning
 
-ms.date: 10/01/2018
+ms.date: 03/13/2019
 ms.topic: conceptual
 author: HeidiSteen
 ms.author: heidist
@@ -17,8 +17,8 @@ By default, installers connect to Microsoft download sites to get required and u
 
 In-database analytics consist of database engine instance, plus additional components for R and Python integration, depending on the version of SQL Server. 
 
-+ SQL Server 2017 includes R and Python. 
-+ SQL Server 2016 is R-only. 
++ SQL Server 2017 includes R and Python 
++ SQL Server 2016 is R-only.
 
 On an isolated server, machine learning and R/Python language-specific features are added through CAB files. 
 
@@ -70,7 +70,9 @@ One way to get an .iso file containing the installation media is through [Visual
 
 ## Transfer files
 
-Copy the SQL Server installation media (.iso or .cab) and in-database analytics CAB files to the target computer. Place the CAB files and installation media file in the same folder on the target machine, such as **Downloads** or the setup user's %temp* folder.
+Copy the SQL Server installation media (.iso or .cab) and in-database analytics CAB files to the target computer. Place the CAB files and installation media file in the same folder on the target machine, such as the setup user's %TEMP* folder.
+
+The %TEMP% folder is required for Python CAB files. For R, you can use %TEMP% or set the myrcachedirectory parameter to the CAB path.
 
 The following screenshot shows SQL Server 2017 CAB and ISO files. SQL Server 2016 downloads look different: fewer files (no Python), and the installation media file name is for 2016.
 
 
@@ -24,7 +24,7 @@ In this article, learn how to configure a Python development workstation so that
 To validate the installation, you can use built-in Jupyter Notebooks as described in this article, or [link the libraries](#install-ide) to PyCharm or any another IDE that you normally use.
 
 > [!Tip]
-> For a video demonstration of these exercises, see [Run R and Python remotely in SQL Server from Jupyter Notebooks](https://blogs.msdn.microsoft.com/mlserver/2018/07/10/run-r-and-python-remotely-in-sql-server-from-jupyter-notebooks-or-any-ide/).
+> For a video demonstration of these exercises, see [Run R and Python remotely in SQL Server from Jupyter Notebooks](https://youtu.be/D5erljpJDjE).
 
 > [!Note]
 > An alternative to client library installation is using a [standalone server](../install/sql-machine-learning-standalone-windows-install.md) as a rich client, which some customers prefer for deeper scenario work. A standalone server is fully decoupled from SQL Server, but because it has the same Python libraries, you can use it as a client for SQL Server in-database analytics. You can also use it for non-SQL-related work, including the ability to import and model data from other data platforms. If you install a standalone server, you can find the Python executable at this location: `C:\Program Files\Microsoft SQL Server\140\PYTHON_SERVER`. To validate your installation, [open a Jupyter notebook](#python-tools) to run commands using the Python.exe at that location.