Update readme with required items

README.md

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 # Django Celery Template
 
+[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/Joel-hanson/django-celery-template)
+
 This is a template for a Django project with Celery. This project can also be run using the devcontainer in VSCode.
 
 The devcontainer library files are taken from the [vscode-dev-containers](https://github.com/microsoft/vscode-dev-containers) repository. More about devcontainers can be found [here](https://containers.dev/) and [here](https://github.com/devcontainers).
+
+## Setting up the development container
+
+### GitHub Codespaces
+
+Follow these steps to open this sample in a Codespace:
+
+1. Click the **Code** drop-down menu.
+2. Click on the **Codespaces** tab.
+3. Click **Create codespace on main** .
+
+For more information on creating your codespace, visit the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
+
+### VS Code Dev Containers
+
+If you already have VS Code and Docker installed, you can click the badge above or [here](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/Joel-hanson/django-celery-template) to get started. Clicking these links will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
+
+Follow these steps to open this sample in a container using the VS Code Dev Containers extension:
+
+1. If this is your first time using a development container, please ensure your system meets the prerequisites (i.e. have Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started).
+
+2. To use this repository, you can either open the repository in an isolated Docker volume:
+
+   - Press <kbd>F1</kbd> and select the **Dev Containers: Try a Sample...** command.
+   - Choose the "Python" sample, wait for the container to start, and try things out!
+     > **Note:** Under the hood, this will use the **Dev Containers: Clone Repository in Container Volume...** command to clone the source code in a Docker volume instead of the local filesystem. [Volumes](https://docs.docker.com/storage/volumes/) are the preferred mechanism for persisting container data.
+
+   Or open a locally cloned copy of the code:
+
+   - Clone this repository to your local filesystem.
+   - Press <kbd>F1</kbd> and select the **Dev Containers: Open Folder in Container...** command.
+   - Select the cloned copy of this folder, wait for the container to start, and try things out!