Add VS Code hint for Codespaces and preinstall Python/Jupyter extensions (#262)

* docs: add VS Code tip for Codespaces and preinstall Python/Jupyter extensions

Lead the Codespaces section with the simplest path — run notebooks
directly in the default VS Code editor, skipping the Jupyter token and
port-8888 steps. Preinstall the ms-python.python and ms-toolsai.jupyter
extensions via the devcontainer so they are ready on first launch.

* docs: add VS Code tip to the published Codespaces install page

The workshop website (built by zensical from web/docs/index.md) has its
own GitHub Codespaces section; mirror the README tip there so users
reading the published install page also see the simpler VS Code path.

Author: ecomodeller

.devcontainer/devcontainer.json

@@ -7,5 +7,13 @@
   "features": {
     "ghcr.io/devcontainers/features/docker-outside-of-docker:1": {}
   },
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "ms-python.python",
+        "ms-toolsai.jupyter"
+      ]
+    }
+  },
   "postStartCommand": "docker compose -f /workspaces/${localWorkspaceFolderBasename}/workshop/docker-compose-services.yml up -d && jupyter notebook --ip 0.0.0.0 --no-browser --port 8888 --allow-root"
 }

README.md

@@ -109,6 +109,12 @@ jupyter notebook
 
 ### Running from Github Codespaces
 
+> **Tip:** the simplest way to run the exercises is to open the Codespace in
+> VS Code (the default when you launch a Codespace) and run the notebooks from
+> the editor — select the Python kernel when prompted and run the cells. VS Code
+> talks to the kernel directly, so you can skip the Jupyter token and port-8888
+> steps described below.
+
 You can also use Github Codespaces after forking the repository:
 <img width="719" height="248" alt="image" src="https://github.com/user-attachments/assets/aa467a75-9ab9-46a2-98d3-ca8c4c278481" />
 

web/docs/index.md

@@ -214,6 +214,8 @@ If you somehow were not able to install Docker, or had trouble starting the work
 
 ### GitHub Codespaces
 
+**Tip:** the simplest way is to open the Codespace in VS Code (the default when you launch a Codespace) and run the notebooks directly from the editor — select the Python kernel when prompted and run the cells. VS Code talks to the kernel directly, so you can skip the Jupyter token steps below.
+
 To run this workshop via GitHub Codespaces, please complete the following steps:
 
 - Navigate to https://github.com/geopython/geopython-workshop