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Author: jrbourbeau

01_dask.delayed.ipynb

@@ -251,7 +251,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "results = []\n",

01x_lazy.ipynb

@@ -261,7 +261,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "## verbose version\n",

02_bag.ipynb

@@ -678,13 +678,6 @@
    "source": [
     "client.shutdown()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

03_array.ipynb

@@ -161,6 +161,15 @@
     "This approach is overkill for our case but does nicely generalize if we don't know the size of the array or individual blocks beforehand."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Compute the mean of the array"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -171,7 +180,6 @@
    },
    "outputs": [],
    "source": [
-    "# Compute the mean of the array\n",
     "sums = []\n",
     "lengths = []\n",
     "for i in range(0, 1000000000, 1000000):\n",
@@ -733,19 +741,18 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "# ..."
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "import h5py\n",

06_distributed_advanced.ipynb

@@ -206,7 +206,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "x = c.submit(inc, 1)\n",