Merge pull request #21099 from github/repo-sync

repo sync

content/codespaces/codespaces-reference/disaster-recovery-for-github-codespaces.md

@@ -42,9 +42,9 @@ While {% data variables.product.prodname_github_codespaces %} provides the benef
 
 While this option does not configure a development environment for you, it will allow you to make changes to your source code as needed while you wait for the service disruption to resolve.
 
-## Option 4: Use Remote-Containers and Docker for a local containerized environment
+## Option 4: Use the Dev Containers extension and Docker for a local containerized environment
 
-If your repository has a `devcontainer.json`, consider using the [Remote-Containers extension](https://code.visualstudio.com/docs/remote/containers#_quick-start-open-a-git-repository-or-github-pr-in-an-isolated-container-volume) in {% data variables.product.prodname_vscode %} to build and attach to a local development container for your repository. The setup time for this option will vary depending on your local specifications and the complexity of your dev container setup.
+If your repository has a `devcontainer.json`, consider using the [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) in {% data variables.product.prodname_vscode %} to build and attach to a local development container for your repository. The setup time for this option will vary depending on your local specifications and the complexity of your dev container setup. For more information, see "[Developing inside a container](https://code.visualstudio.com/docs/remote/containers#_quick-start-open-a-git-repository-or-github-pr-in-an-isolated-container-volume)" in the {% data variables.product.prodname_vscode_shortname %} documentation.
 
 {% note %}
 

content/codespaces/developing-in-codespaces/codespaces-lifecycle.md

@@ -79,4 +79,4 @@ For more information on deleting a codespace, see "[Deleting a codespace](/codes
 
 {% data variables.product.prodname_github_codespaces %} is a cloud-based development environment and requires an internet connection. If you lose connection to the internet while working in a codespace, you will not be able to access your codespace. However, any uncommitted changes will be saved. When you have access to an internet connection again, you can connect to your codespace in the exact same state that it was left in. If you have an unstable internet connection, you should commit and push your changes often.
 
-If you know that you will often be working offline, you can use your `devcontainer.json` file with the ["{% data variables.product.prodname_vscode %} Remote - Containers" extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) to build and attach to a local development container for your repository. For more information, see [Developing inside a container](https://code.visualstudio.com/docs/remote/containers) in the {% data variables.product.prodname_vscode %} documentation.
+If you know that you will often be working offline, you can use your `devcontainer.json` file with the ["Dev Containers" extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) for {% data variables.product.prodname_vscode_shortname %} to build and attach to a local development container for your repository. For more information, see [Developing inside a container](https://code.visualstudio.com/docs/remote/containers) in the {% data variables.product.prodname_vscode %} documentation.

content/codespaces/developing-in-codespaces/getting-started-with-github-codespaces-for-machine-learning.md

@@ -41,13 +41,6 @@ The default container image that's used by {% data variables.product.prodname_gi
 
 1. In the {% data variables.product.prodname_vscode_shortname %} editor, close any "Get Started" tabs that are displayed.
 1. Open the `image-classifier.ipynb` notebook file.
-1. Click the Python kernel link at the top right of the editor.
-
-   ![Screenshot of the Python kernal link](/assets/images/help/codespaces/jupyter-python-kernel-link.png)
-   
-1. In the drop-down menu, choose the kernel in the directory `/opt/python/latest/bin/python`.
-
-   ![Screenshot of the Python kernal drop-down menu](/assets/images/help/codespaces/jupyter-python-kernel-dropdown.png)
 
 ### Build the image classifier
 

content/codespaces/setting-up-your-project-for-codespaces/introduction-to-dev-containers.md

@@ -126,7 +126,7 @@ You can choose from a list of predefined configurations to create a dev containe
 
 Using a predefined configuration is a great idea if you need some additional extensibility. You can also start with a predefined configuration and amend it as needed for your project. For more information about the definitions of predefined dev containers, see the [`devcontainers/images`](https://github.com/devcontainers/images/tree/main/src) repository.
 
-You can add a predefined dev container configuration either while working in a codespace, or while working on a repository locally. To do this in {% data variables.product.prodname_vscode_shortname %} while you are working locally, and not connected to a codespace, you must have the "Remote - Containers" extension installed and enabled. For more information about this extension, see the [{% data variables.product.prodname_vs_marketplace_shortname %}](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). The following procedure describes the process when you are using a codespace. The steps in {% data variables.product.prodname_vscode_shortname %} when you are not connected to a codespace are very similar.
+You can add a predefined dev container configuration either while working in a codespace, or while working on a repository locally. To do this in {% data variables.product.prodname_vscode_shortname %} while you are working locally, and not connected to a codespace, you must have the "Dev Containers" extension installed and enabled. For more information about this extension, see the [{% data variables.product.prodname_vs_marketplace_shortname %}](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). The following procedure describes the process when you are using a codespace. The steps in {% data variables.product.prodname_vscode_shortname %} when you are not connected to a codespace are very similar.
 
 {% data reusables.codespaces.command-palette-container %}
 1. Click the definition you want to use.