Hide solution cells (#257)

Author: jsignell

01_dataframe.ipynb

@@ -433,6 +433,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -462,6 +465,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -491,6 +497,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -518,6 +527,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -545,6 +557,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -572,6 +587,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],

02_array.ipynb

@@ -293,6 +293,15 @@
     "For Dask arrays, compute the mean along `axis=1` of the sum of the x array and its transpose. "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Your code here"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -303,7 +312,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "x_sum = xd + xd.T \n",
@@ -552,6 +566,20 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "# Your code here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "# 1 possible Solution (imitate original). chunks will vary if you are in binder\n",
     "c = da.from_zarr(\"data/random_sc.zarr\", chunks=(6250000, ))\n",

03_dask.delayed.ipynb

@@ -293,6 +293,9 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
@@ -386,7 +389,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "@dask.delayed\n",
@@ -626,7 +634,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%%time\n",