Add codespace config for scipy 2023

.devcontainer/Dockerfile

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+FROM pangeo/base-image:2023.06.20

.devcontainer/scipy2023/devcontainer.json

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+{
+  "build": {
+    "dockerfile": "../Dockerfile",
+    "context": "../../conda"
+  },
+  "postCreateCommand": {
+    "jupyterlab": "mkdir /home/jovyan/.jupyter && cp ${containerWorkspaceFolder}/.devcontainer/scipy2023/jupyter_lab_config.py /home/jovyan/.jupyter/jupyter_lab_config.py",
+    "vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/scipy2023/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json"
+  },
+  "hostRequirements": {
+    "cpus": 2
+  },
+  "customizations": {
+    "codespaces": {
+      "openFiles": ["workshops/scipy2023/README.md"]
+    },
+    "vscode": {
+      "extensions": ["ms-toolsai.jupyter", "ms-python.python"]
+    }
+  }
+}

.devcontainer/scipy2023/jupyter_lab_config.py

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+# Configuration file for lab.
+
+c = get_config()  # noqa
+
+## The default URL to redirect to from `/`
+#  Default: '/lab'
+c.LabApp.default_url = '/lab/tree/workshops/scipy2023/index.ipynb'
+
+## Set the Access-Control-Allow-Origin header
+#
+#          Use '*' to allow any origin to access your server.
+#
+#          Takes precedence over allow_origin_pat.
+#  Default: ''
+c.ServerApp.allow_origin = '*'

.devcontainer/scipy2023/tasks.json

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+{
+  "version": "2.0.0",
+  "tasks": [
+    {
+      "label": "jupyterlab",
+      "type": "shell",
+      "command": "/srv/conda/envs/notebook/bin/jupyter lab --no-browser",
+      "presentation": {
+        "reveal": "always"
+      },
+      "runOptions": {
+        "runOn": "folderOpen"
+      }
+    }
+  ]
+}

.github/dependabot.yml

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+version: 2
+updates:
+  - package-ecosystem: 'docker'
+    directory: '/.devcontainer'
+    schedule:
+      interval: 'daily'

conda/apt.txt

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+git
+vim

workshops/scipy2023/README.md

@@ -19,6 +19,26 @@ See instructions to set up the environment for running the tutorial material [he
 For the live tutorial, we will be using the SciPy 2023 Nebari JupyterHub. Instructions for the live
 tutorial will be added soon.
 
+## Github Codespaces
+
+This tutorial is available to run within [Github Codespaces](https://github.com/features/codespaces) - "a development environment that's hosted in the cloud" - with the conda environment specification in the [`conda-lock.yml`](../../conda/conda-lock.yml) file.
+
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new/xarray-contrib/xarray-tutorial/tree/main?devcontainer_path=.devcontainer%2Fscipy2023%2Fdevcontainer.json)
+
+☝️ Click the button above to go to options window to launch a Github codespace.
+
+A codespace is a development environment that's hosted in the cloud.
+You can choose from a selection of virtual machine types: 2 cores - 4 GB RAM - 32 GB storage, and 4 cores - 8 GB RAM - 32GB storage.
+Additionally, you are able to chose from various Dev container configuration, for this specific workshop, please ensure that `Scipy2023` is selected.
+GitHub currently gives every user [120 vCPU hours per month for free](https://docs.github.com/en/billing/managing-billing-for-github-codespaces/about-billing-for-github-codespaces#monthly-included-storage-and-core-hours-for-personal-accounts), beyond that you must pay. **So be sure to explicitly stop or shut down your codespace when you are done by going to this page (https://github.com/codespaces).**
+
+Once your codespace is launched, the following happens:
+
+- [Visual Studio Code](https://code.visualstudio.com/) Interface will open up within your browser.
+- A built in terminal will open and it will execute `jupyter lab` automatically.
+- Once you see a url to click within the terminal, simply `cmd + click` the given url.
+- This will open up another tab in your browser, leading to a [Jupyter Lab](https://jupyterlab.readthedocs.io/en/latest/) Interface.
+
 ## Outline
 
 **🏗️ Outline coming soon! Please check back later**