Update Dask example (#38)

.gitignore

@@ -130,3 +130,6 @@ dmypy.json
 
 # macOS
 .DS_Store
+
+# Dask
+dask-worker-space/

02_dask.ipynb

@@ -49,10 +49,17 @@
     ">\n",
     "> Dask can scale up to your full laptop capacity and out to a cloud cluster.\n",
     ">\n",
-    "> *~ Source: [Dask Tutorial](https://tutorial.dask.org/00_overview.html)*\n",
-    "\n",
-    "\n",
-    "<!-- TODO add screenshot of an ongoin computation and the dask dashboard -->"
+    "> *~ Source: [Dask Tutorial](https://tutorial.dask.org/00_overview.html)*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59e71afd-4537-49b6-a5f3-5eb97295db44",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "<img src=\"assets/dask-example-dashboard.gif\" alt=\"Dask computation with task stream annd progress bar\" width=\"70%\">"
    ]
   },
   {
@@ -90,10 +97,10 @@
     "\n",
     "> **Dask Gateway** allows you to launch and use Dask clusters in a shared, centrally managed cluster environment, without requiring users to have direct access to the underlying cluster backend (e.g.. Kubernetes, Hadoop/YARN, HPC Job queues, etc.)\n",
     ">\n",
+    "> <img src=\"./assets/dask-gateway-overview.png\" alt-text=\"Diagram of Dask-Gateway architecture\" width=\"50%\"></img>\n",
+    "> \n",
     "> *~ Source: [gateway.dask.org](https://gateway.dask.org/)*\n",
     "\n",
-    "<img src=\"./assets/dask-gateway-overview.png\" alt-text=\"Diagram of Dask-Gateway architecture\" width=\"50%\"></img>\n",
-    "\n",
     "For the purposes of this Nebari tutorial, when we refer to Dask running on a distributed cluster, we mean connecting to Dask Gateway.\n",
     "\n",
     "This means that users with access to Dask Gateway (more on user permissions in a later notebook) need to connect to the gateway to submit their workloads to the Dask cluster. For a concrete example of how this done, check out the links at the bottom of this page."
@@ -107,7 +114,6 @@
     "## Why do we include Dask and Dask Gateway with Nebari?\n",
     "\n",
     "* In PyData, Dask has become foundational for out-of-memory computation and lots of Nebari uses also use Dask.\n",
-    "* Dask Gateway is an open source and general-purpose deployment solution for Dask, so it fits in well with Nebari's OSS-first values.\n",
     "* Dask's features like adaptive scaling and diagnostic dashboards can help you manage your big data computation and costs.\n",
     "* Making sure Dask deployments work on your cloud platform is non-trivial, so we ship it built-in to make your workflows more efficient."
    ]
@@ -119,7 +125,7 @@
    "source": [
     "## 👀 Watch this:\n",
     "\n",
-    "Here we run through a basic example of how to use Dask Gateway in Nebari: [finance_examples/02_dask_gateway_adaptive_scaling.ipynb](./finance_examples/02_dask_gateway_adaptive_scaling.ipynb)"
+    "Here we run through a basic example of how to use Dask Gateway in Nebari: [finance_examples/02a_dask_gateway_adaptive_scaling.ipynb](./finance_examples/02a_dask_gateway_adaptive_scaling.ipynb)"
    ]
   },
   {