Minor

Author: dargilco

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-cpp-sdk-40.md

@@ -62,7 +62,7 @@ From the project directory, open the _ImageAnalysisQuickstart.cpp_ file that was
 [!code-cpp[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/cpp/image-analysis/2/2.cpp?name=snippet_single)]
 
 
-Then, compile run the application by selecting **Start Debugging** from the **Debug** menu at the top of the IDE window (or press **F5**). You should see output similar to the one below.
+Then, compile and run the application by selecting **Start Debugging** from the **Debug** menu at the top of the IDE window (or press **F5**). You should see output similar to the one below.
 
 > [!div class="nextstepaction"]
 > <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CPP&Pillar=Vision&Product=Image-analysis&Page=quickstart4&Section=Analyze-image" target="_target">I ran into an issue</a>

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-csharp-sdk-40.md

@@ -25,7 +25,7 @@ Use the Image Analysis client library for C# to analyze an image to read text an
 ## Prerequisites
 
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/)
-* The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/) with workload **.NET desktop development** enabled, or [.NET 6.0](https://dotnet.microsoft.com/download/dotnet-core) SDK or above installed.
+* The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/) with workload **.NET desktop development** enabled, or [.NET 6.0](https://dotnet.microsoft.com/download/dotnet-core) SDK (or above) installed.
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision"  title="Create a Computer Vision resource"  target="_blank">create a Computer Vision resource</a> in the Azure portal. In order to use the captioning feature in this quickstart, you must create your resource in one of the following Azure regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, West US. After it deploys, click **Go to resource**.
     * You will need the key and endpoint from the resource you create to connect your application to the Computer Vision service.
     * You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
@@ -39,7 +39,7 @@ Create a new C# application.
 
 #### [Visual Studio IDE](#tab/visual-studio)
 
-Open Visual Studio, and under **Get started** select **Create a new project**. Set the template filters to _C#/All Platforms/Console_. Select **Console App** (command-line application that can run on .NET on Windows, Linux and macOS) and choose **Next**. Update the project name to _ImageAnalysisQuickstart_ and choose **Next**. Select **.NET 6.0** or higher, and choose **Create** to create the project.
+Open Visual Studio, and under **Get started** select **Create a new project**. Set the template filters to _C#/All Platforms/Console_. Select **Console App** (command-line application that can run on .NET on Windows, Linux and macOS) and choose **Next**. Update the project name to _ImageAnalysisQuickstart_ and choose **Next**. Select **.NET 6.0** or above, and choose **Create** to create the project.
 
 ### Install the client library 
 
@@ -49,13 +49,13 @@ Once you've created a new project, install the client library by right-clicking
 
 In a console window (such as cmd, PowerShell, or Bash), use the `dotnet new` command to create a new console app with the name `image-analysis-quickstart`. This command creates a simple "Hello World" C# project with a single source file: *Program.cs*.
 
-```console
+```dotnet
 dotnet new console -n image-analysis-quickstart
 ```
 
 Change your directory to the newly created app folder. You can build the application with:
 
-```console
+```dotnet
 dotnet build
 ```
 
@@ -73,7 +73,7 @@ Build succeeded.
 
 Within the application directory, install the Computer Vision client library for .NET with the following command:
 
-```console
+```dotnet
 dotnet add package  Azure.AI.Vision.ImageAnalysis --prerelease
 ```
 
@@ -101,11 +101,8 @@ Build and run the application by selecting **Start Debugging** from the **Debug*
 
 Build and run the application from your application directory with these commands:
 
-```console
-dotnet build
-```
-
 ```dotnet
+dotnet build
 dotnet run
 ```
 

articles/cognitive-services/Computer-vision/includes/quickstarts-sdk/image-analysis-python-sdk-40.md

@@ -50,7 +50,7 @@ Use the Image Analysis client library for Python to analyze a remote image to re
 > [!TIP]
 > You can also analyze a local image. See the [sample code](https://github.com/Azure-Samples/azure-ai-vision-sdk/blob/main/samples/python/image-analysis/samples.py) repository for scenarios involving local images.
 
-    [!code-python[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/python/image-analysis/2/main.py?name=snippet_single)]
+[!code-python[](~/azure-ai-vision-sdk/docs/learn.microsoft.com/python/image-analysis/2/main.py?name=snippet_single)]
 
 1. Then run the application with the `python` command on your quickstart file.