From 3dd2a142700da33899d7c2c06b912eb236144879 Mon Sep 17 00:00:00 2001 From: Alex Buck Date: Tue, 20 Sep 2022 15:59:56 -0400 Subject: [PATCH] [BULK] DocuTune - Rebranding --- docs/azure/deployment.md | 12 ++++++------ docs/datascience/pytorch-support.md | 2 +- learn/educators/learn-modules.md | 16 ++++++++-------- learn/students/nasa-python.md | 14 +++++++------- 4 files changed, 22 insertions(+), 22 deletions(-) diff --git a/docs/azure/deployment.md b/docs/azure/deployment.md index c73e056e4..09d9ca1a6 100644 --- a/docs/azure/deployment.md +++ b/docs/azure/deployment.md @@ -11,7 +11,7 @@ DateApproved: 9/1/2022 Visual Studio Code makes it easy to deploy your applications to the cloud with [Azure](https://azure.microsoft.com) and we've created walkthroughs to help you get started. -Whether your workflow is through the [Azure CLI](https://docs.microsoft.com/cli/azure) or [Azure App Service](https://azure.microsoft.com/services/app-service), using a Docker container, or creating serverless [Azure Functions](https://azure.microsoft.com/services/functions/), you'll find the deployment steps you need. +Whether your workflow is through the [Azure CLI](https://learn.microsoft.com/cli/azure) or [Azure App Service](https://azure.microsoft.com/services/app-service), using a Docker container, or creating serverless [Azure Functions](https://azure.microsoft.com/services/functions/), you'll find the deployment steps you need. ## Deployment tutorials @@ -19,13 +19,13 @@ The tutorials below, hosted on the Microsoft Docs platform, walk you through dif Tutorial | Description --- | --- -[Deploy Azure Functions](https://docs.microsoft.com/azure/javascript/tutorial-vscode-serverless-node-01) | Build and manage Azure Functions serverless apps directly in VS Code with the Azure Functions extension. -[Deploy using the App Service extension](https://docs.microsoft.com/azure/javascript/tutorial-vscode-azure-app-service-node-01) | Manage Azure resources directly in VS Code with the Azure App Service extension. -[Deploy using Docker](https://docs.microsoft.com/azure/javascript/tutorial-vscode-docker-node-01) | Deploy your website using a Docker container. -[Deploy a static website](https://docs.microsoft.com/azure/static-web-apps/getting-started) | Create, deploy, and update a static website. +[Deploy Azure Functions](https://learn.microsoft.com/azure/javascript/tutorial-vscode-serverless-node-01) | Build and manage Azure Functions serverless apps directly in VS Code with the Azure Functions extension. +[Deploy using the App Service extension](https://learn.microsoft.com/azure/javascript/tutorial-vscode-azure-app-service-node-01) | Manage Azure resources directly in VS Code with the Azure App Service extension. +[Deploy using Docker](https://learn.microsoft.com/azure/javascript/tutorial-vscode-docker-node-01) | Deploy your website using a Docker container. +[Deploy a static website](https://learn.microsoft.com/azure/static-web-apps/getting-started) | Create, deploy, and update a static website. You can find additional tutorials and walkthroughs on the -[Azure Developer Center](https://docs.microsoft.com/azure/developer), including language-specific articles for JavaScript and Node.js, Python, Java, and .NET. +[Azure Developer Center](https://learn.microsoft.com/azure/developer), including language-specific articles for JavaScript and Node.js, Python, Java, and .NET. ## Next steps diff --git a/docs/datascience/pytorch-support.md b/docs/datascience/pytorch-support.md index 960bc7264..4fd9727ec 100644 --- a/docs/datascience/pytorch-support.md +++ b/docs/datascience/pytorch-support.md @@ -10,7 +10,7 @@ MetaSocialImage: images/tutorial/social.png --- # PyTorch support in Visual Studio Code -Along with support for [Jupyter Notebooks](/docs/datascience/jupyter-notebooks.md), Visual Studio Code offers many features of particular interest for PyTorch developers. This article covers some of those features and illustrates how they can help you in your projects. If you're unfamiliar with PyTorch development, Microsoft Learn offers a [Get started with PyTorch](https://docs.microsoft.com/learn/paths/pytorch-fundamentals) learning path that covers the fundamentals of deep learning with PyTorch. +Along with support for [Jupyter Notebooks](/docs/datascience/jupyter-notebooks.md), Visual Studio Code offers many features of particular interest for PyTorch developers. This article covers some of those features and illustrates how they can help you in your projects. If you're unfamiliar with PyTorch development, Microsoft Learn training offers a [Get started with PyTorch](https://learn.microsoft.com/training/paths/pytorch-fundamentals) learning path that covers the fundamentals of deep learning with PyTorch. ## Data Viewer support for Tensors and data slices diff --git a/learn/educators/learn-modules.md b/learn/educators/learn-modules.md index 56af71914..8ae755dff 100644 --- a/learn/educators/learn-modules.md +++ b/learn/educators/learn-modules.md @@ -13,39 +13,39 @@ If you're looking for resources for your students to get started with Visual Stu

Get started with learning Python by installing and configuring the tools you'll need to build real applications.

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Utilize the tight integration of Visual Studio Code with the Git source-control management system.

- +

Learn the basics of Python.

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Build a database app to store and query data in Azure Cosmos DB by using Visual Studio Code and Node.js.

- +

diff --git a/learn/students/nasa-python.md b/learn/students/nasa-python.md index 35eb40521..11f04323d 100644 --- a/learn/students/nasa-python.md +++ b/learn/students/nasa-python.md @@ -9,7 +9,7 @@ MetaDescription: NASA project tutorials using the Python extension in Visual Stu --- # NASA Inspired Lessons -This learning path introduces you to the world of Python. Explore modules and learning paths inspired by National Aeronautics and Space Administration (NASA) scientists to prepare you for a career in space exploration. Visit [Microsoft Learn](https://docs.microsoft.com/learn/topics/nasa) for the full list of modules. +This learning path introduces you to the world of Python. Explore modules and learning paths inspired by National Aeronautics and Space Administration (NASA) scientists to prepare you for a career in space exploration. Visit [Microsoft Learn training](https://learn.microsoft.com/training/topics/nasa) for the full list of modules. Through these modules, you will: @@ -20,30 +20,30 @@ Through these modules, you will:

Learn how Python and data science play a role in the innovative solutions that NASA creates.

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Create an AI model that can classify types of space rock present in a photo.

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This will introduce you to the world of machine learning and help you build a simple ML model.

- +