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Merge pull request #111695 from msebolt/1705767-adding-zone-pivots-cognitive-services-anomaly-detector
1705767 adding zone pivots cognitive services anomaly detector
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.openpublishing.redirection.json

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"redirect_url": "/azure/cognitive-services/bing-web-search/bing-web-stats",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-csharp-sdk.md",
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"redirect_url": "/azure/cognitive-services/Anomaly-Detector/quickstarts/client-libraries?pivots=programming-language-csharp",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-nodejs-sdk.md",
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"redirect_url": "/azure/cognitive-services/Anomaly-Detector/quickstarts/client-libraries?pivots=programming-language-javascript",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-python-sdk.md",
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"redirect_url": "/azure/cognitive-services/Anomaly-Detector/quickstarts/client-libraries?pivots=programming-language-python",
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"redirect_document_id": false
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},
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{
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"source_path": "articles/cognitive-services/Bing-Web-Search/web-search-sdk-quickstart.md",
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"redirect_url": "/azure/cognitive-services/bing-web-search/quickstarts/client-libraries?pivots=programming-language-csharp",

articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-csharp-sdk.md renamed to articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-csharp.md

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---
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title: 'Quickstart: Detect anomalies in time series data using the Anomaly Detector client library for .NET'
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title: Anomaly Detector .NET client library quickstart
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titleSuffix: Azure Cognitive Services
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description: Learn how to use the Anomaly Detector API to detect abnormalities in your data series either as a batch or on streaming data.
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services: cognitive-services
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author: aahill
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manager: nitinme
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ms.service: cognitive-services
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ms.subservice: anomaly-detector
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ms.topic: quickstart
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ms.date: 03/24/2020
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ms.topic: include
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ms.date: 04/16/2020
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ms.author: aahi
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---
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# Quickstart: Anomaly Detector client library for .NET
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Get started with the Anomaly Detector client library for .NET. Follow these steps to install the package and try out the example code for basic tasks. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting models on it, regardless of industry, scenario, or data volume.
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Use the Anomaly Detector client library for .NET to:
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### Create an Anomaly Detector resource
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[!INCLUDE [anomaly-detector-resource-creation](../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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[!INCLUDE [anomaly-detector-resource-creation](../../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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### Create a new .NET Core application
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dotnet run
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```
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[!INCLUDE [anomaly-detector-next-steps](../includes/quickstart-cleanup-next-steps.md)]
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[!INCLUDE [anomaly-detector-next-steps](../quickstart-cleanup-next-steps.md)]

articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-nodejs-sdk.md renamed to articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-javascript.md

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---
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title: "Quickstart: Detect data anomalies using the Anomaly Detector client library for Python"
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title: Anomaly Detector JavaScript client library quickstart
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titleSuffix: Azure Cognitive Services
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description: Learn how to use the Anomaly Detector API to detect abnormalities in your data series either as a batch or on streaming data.
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services: cognitive-services
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author: aahill
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manager: nitinme
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ms.service: cognitive-services
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ms.subservice: anomaly-detector
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ms.topic: quickstart
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ms.date: 03/24/2020
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ms.topic: include
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ms.date: 04/16/2020
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ms.author: aahi
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---
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# Quickstart: Anomaly Detector client library for Node.js
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Get started with the Anomaly Detector client library for JavaScript. Follow these steps to install the package and try out the example code for basic tasks. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting models on it, regardless of industry, scenario, or data volume.
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Get started with the Anomaly Detector client library for Node.js. Follow these steps to install the package and try out the example code for basic tasks. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting models on it, regardless of industry, scenario, or data volume.
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Use the Anomaly Detector client library for Node.js to:
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Use the Anomaly Detector client library for JavaScript to:
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* Detect anomalies throughout your time series dataset, as a batch request
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* Detect the anomaly status of the latest data point in your time series
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### Create an Anomaly Detector Azure resource
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[!INCLUDE [anomaly-detector-resource-creation](../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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[!INCLUDE [anomaly-detector-resource-creation](../../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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### Create a new Node.js application
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node index.js
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```
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[!INCLUDE [anomaly-detector-next-steps](../includes/quickstart-cleanup-next-steps.md)]
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[!INCLUDE [anomaly-detector-next-steps](../quickstart-cleanup-next-steps.md)]

articles/cognitive-services/Anomaly-Detector/quickstarts/detect-data-anomalies-python-sdk.md renamed to articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python.md

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---
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title: "Quickstart: Detect data anomalies using the Anomaly Detector client library for Python"
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title: Anomaly Detector Python client library quickstart
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titleSuffix: Azure Cognitive Services
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description: This quickstart shows how to use the Anomaly Detector API to detect abnormalities in your data series either as a batch or on streaming data.
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services: cognitive-services
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author: aahill
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manager: nitinme
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ms.service: cognitive-services
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ms.subservice: anomaly-detector
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ms.topic: quickstart
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ms.date: 03/24/2020
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ms.topic: include
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ms.date: 04/16/2020
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ms.author: aahi
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---
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# Quickstart: Anomaly Detector client library for Python
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Get started with the Anomaly Detector client library for Python. Follow these steps to install the package and try out the example code for basic tasks. The Anomaly Detector service enables you to find abnormalities in your time series data by automatically using the best-fitting models on it, regardless of industry, scenario, or data volume.
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Use the Anomaly Detector client library for Python to:
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### Create an Anomaly Detector resource
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[!INCLUDE [anomaly-detector-resource-creation](../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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[!INCLUDE [anomaly-detector-resource-creation](../../../../../includes/cognitive-services-anomaly-detector-resource-cli.md)]
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### Create a new python application
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Run the application with the `python` command and your file name.
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[!INCLUDE [anomaly-detector-next-steps](../includes/quickstart-cleanup-next-steps.md)]
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[!INCLUDE [anomaly-detector-next-steps](../quickstart-cleanup-next-steps.md)]

articles/cognitive-services/Anomaly-Detector/index.yml

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- linkListType: quickstart
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links:
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- text: Using C#
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url: quickstarts/detect-data-anomalies-csharp-sdk.md
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url: ../anomaly-detector/quickstarts/client-libraries.md?pivots=programming-language-csharp
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- text: Using JavaScript
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url: ../anomaly-detector/quickstarts/client-libraries.md?pivots=programming-language-javascript
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- text: Using Python
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url: quickstarts/detect-data-anomalies-python-sdk.md
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url: ../anomaly-detector/quickstarts/client-libraries.md?pivots=programming-language-python
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- linkListType: tutorial
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links:
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- text: Visualize anomalies using batch detection and Power BI
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---
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title: 'Quickstart: Use the Anomaly Detector client library'
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titleSuffix: Azure Cognitive Services
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description: The Anomaly Detector API offers client libraries to detect abnormalities in your data series either as a batch or on streaming data.
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services: cognitive-services
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author: aahill
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manager: nitinme
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zone_pivot_groups: programming-languages-set-seventeen
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ms.service: cognitive-services
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ms.subservice: anomaly-detector
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ms.topic: quickstart
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ms.date: 04/16/2020
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ms.author: aahi
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---
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# Quickstart: Use the Anomaly Detector client library
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::: zone pivot="programming-language-csharp"
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[!INCLUDE [C# quickstart](../includes/quickstarts/anomaly-detector-client-library-csharp.md)]
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::: zone-end
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::: zone pivot="programming-language-javascript"
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[!INCLUDE [Node.js quickstart](../includes/quickstarts/anomaly-detector-client-library-javascript.md)]
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::: zone-end
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::: zone pivot="programming-language-python"
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[!INCLUDE [Python quickstart](../includes/quickstarts/anomaly-detector-client-library-python.md)]
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::: zone-end

articles/cognitive-services/Anomaly-Detector/toc.yml

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items:
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- name: Client library
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items:
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- name: Using C#
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href: quickstarts/detect-data-anomalies-csharp-sdk.md
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- name: Using Python
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href: quickstarts/detect-data-anomalies-python-sdk.md
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- name: Using Node.js
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href: quickstarts/detect-data-anomalies-nodejs-sdk.md
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- name: Anomaly Detector client libraries
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href: ./quickstarts/client-libraries.md
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- name: REST API
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items:
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- name: Using C#
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- name: Reference solution architecture
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href: https://azure.microsoft.com/solutions/architecture/anomaly-detector-process/
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- name: Compliance
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href: https://azure.microsoft.com/support/legal/cognitive-services-compliance-and-privacy/
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href: https://azure.microsoft.com/support/legal/cognitive-services-compliance-and-privacy/

articles/zone-pivot-groups.yml

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- id: programming-language-python
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title: Python
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- id: programming-language-more
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title: More languages...
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title: More languages...
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- id: programming-languages-set-seventeen
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title: Programming languages
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prompt: Choose a programming language
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pivots:
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- id: programming-language-csharp
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title: C#
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- id: programming-language-javascript
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title: JavaScript
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- id: programming-language-python
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title: Python

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