Adding TOC entry and fixing links

Author: deborahc

articles/cosmos-db/TOC.yml

@@ -1034,8 +1034,10 @@
       items:
       - name: Enable notebooks
         href: enable-notebooks.md
-      - name: Use built-in notebook commands
-        href: use-notebook-features-and-commands.md
+      - name: Use built-in Python notebook commands
+        href: use-python-notebook-features-and-commands.md
+      - name: Use built-in C# notebook commands
+        href: use-csharp-notebook-features-and-commands.md        
     - name : Server-side programming
       items:
       - name: Write stored procedures, triggers, and UDFs

articles/cosmos-db/create-notebook-visualize-data.md

@@ -29,7 +29,7 @@ In this section, you will create the Azure Cosmos database, container, and impor
 
 1. After a new notebook is created, you can rename it to something like **VisualizeRetailData.ipynb.**
 
-1. Next you will create a database named “RetailDemo” and a container named “WebsiteData” to store the retail data. You can use /CardID as the partition key. Copy and paste the following code to a new cell in your notebook and run it:
+1. Next you will create a database named "RetailDemo" and a container named "WebsiteData" to store the retail data. You can use /CartID as the partition key. Copy and paste the following code to a new cell in your notebook and run it:
 
    ```python
    import azure.cosmos
@@ -49,8 +49,8 @@ In this section, you will create the Azure Cosmos database, container, and impor
    The database and container are created in your current Azure Cosmos account. The container is provisioned with 400 RU/s. You will see the following output after the database and container is created. 
 
    ```console
-	Database RetailDemo created
-	Container WebsiteData created
+    Database RetailDemo created
+    Container WebsiteData created
    ```
 
    You can also refresh the **Data** tab and see the newly created resources:
@@ -116,7 +116,7 @@ Before running queries to analyze the data, you can read the data from container
 {Query text}
 ```
 
-To learn more, see the [built-in notebook commands and features in Azure Cosmos DB](use-notebook-features-and-commands.md) article. You will run the query- `SELECT c.Action, c.Price as ItemRevenue, c.Country, c.Item FROM c`. The results will be saved into a Pandas DataFrame named df_cosmos. Paste the following command in a new notebook cell and run it:
+To learn more, see the [built-in notebook commands and features in Azure Cosmos DB](use-python-notebook-features-and-commands.md) article. You will run the query- `SELECT c.Action, c.Price as ItemRevenue, c.Country, c.Item FROM c`. The results will be saved into a Pandas DataFrame named df_cosmos. Paste the following command in a new notebook cell and run it:
 
 ```python
 %%sql --database RetailDemo --container WebsiteData --output df_cosmos
@@ -232,7 +232,7 @@ In this section, you will run some queries on the data retrieved.
 
    ![Countries revenue map visualization](./media/create-notebook-visualize-data/countries-revenue-map-visualization.png)
 
-1. Let’s see another case of data visualization. The WebsiteData container has record of users who viewed an item, added to their cart, and purchased the item. Let’s plot the conversion rate of items purchased. Run the following code in a new cell to visualize the conversion rate for each item:
+1. Let's see another case of data visualization. The WebsiteData container has record of users who viewed an item, added to their cart, and purchased the item. Let's plot the conversion rate of items purchased. Run the following code in a new cell to visualize the conversion rate for each item:
 
    ```python
    from bokeh.io import show, output_notebook
@@ -285,4 +285,4 @@ In this section, you will run some queries on the data retrieved.
 
 ## Next steps
 
-* To learn more about notebook commands, see [how to use built-in notebook commands and features in Azure Cosmos DB](use-notebook-features-and-commands.md) article.
+* To learn more about Python notebook commands, see [how to use built-in notebook commands and features in Azure Cosmos DB](use-python-notebook-features-and-commands.md) article.

articles/cosmos-db/use-csharp-notebook-features-and commands.md

@@ -25,7 +25,7 @@ You can install multiple NuGet packages in the same cell. Packages will be avail
 
 Currently, the C# notebooks workspace does not support recursive resolution of NuGet packages. If a NuGet package has dependencies on other NuGet packages not currently installed, you may have to explicitly reference them along with the parent package.
 
-> [!TIP]
+> [!TIP]''
 > If your notebook requires a custom package, we recommend that you add a cell to your notebook to install the package and make it the first cell. This reduces the chance of conflicts with any packages Azure Cosmos DB loads by default. It also makes it easy to re-install them if you [reset the workspace](#reset-notebooks-workspace), which removes all packages. 
 ## Use the built-in Azure Cosmos DB .NET SDK
 Version 3 of the [Azure Cosmos DB .NET SDK for SQL API](https://github.com/Azure/azure-cosmos-dotnet-v3) is installed and included in the notebook environment for the Azure Cosmos account.
@@ -124,7 +124,7 @@ You can use the ``%%upload`` magic command to upload data from a JSON file to a
 %%upload --databaseName {database_id} --containerName {container_id} --url {url_location_of_file}
 ```
 
-- Replace ``{database_id}`` and ``{container_id}`` with the name of the database and container in your Azure Cosmos account. If the ``--database`` and ``--container`` arguments are not provided, the query will be executed on the [default database and container](#set-default-database-for-queries).
+- Replace ``{database_id}`` and ``{container_id}`` with the name of the database and container in your Azure Cosmos account. 
 - Replace ``{url_location_of_file}`` with the location of your JSON file. The file must be an array of valid JSON objects and it should be accessible over the public Internet.
 
 For example: