diff --git a/docs/gettingstarted/quickstart.ipynb b/docs/gettingstarted/quickstart.ipynb
index 5832cbd..bf86212 100644
--- a/docs/gettingstarted/quickstart.ipynb
+++ b/docs/gettingstarted/quickstart.ipynb
@@ -38,7 +38,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from dask_nested.datasets import generate_data\n",
+    "from nested_dask.datasets import generate_data\n",
     "\n",
     "# generate_data creates some toy data\n",
     "ndf = generate_data(10, 100)  # 10 rows, 100 nested rows per row\n",
diff --git a/docs/index.rst b/docs/index.rst
index a3804c9..6b0ab87 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -5,6 +5,15 @@
 Nested-Dask
 ========================================================================================
 
+A ![dask](https://www.dask.org/) extension of 
+![nested-pandas](https://nested-pandas.readthedocs.io/en/latest/).
+
+Nested-pandas is a pandas extension package that empowers efficient analysis
+of nested associated datasets. This package wraps the majority of the 
+nested-pandas API with Dask, which enables easy parallelization and capacity 
+for work at scale.
+
+
 Dev Guide - Getting Started
 ---------------------------
 
diff --git a/docs/tutorials/nest_accessor.ipynb b/docs/tutorials/nest_accessor.ipynb
index c3e20d8..5d80489 100644
--- a/docs/tutorials/nest_accessor.ipynb
+++ b/docs/tutorials/nest_accessor.ipynb
@@ -18,62 +18,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>a</th>\n",
-       "      <th>b</th>\n",
-       "      <th>nested</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>npartitions=1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>float64</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>nested&lt;t: [double], flux: [double], band: [string]&gt;</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<div>Dask Name: repartition, 3 expressions</div>"
-      ],
-      "text/plain": [
-       "Dask NestedFrame Structure:\n",
-       "                     a        b                                               nested\n",
-       "npartitions=1                                                                       \n",
-       "0              float64  float64  nested<t: [double], flux: [double], band: [string]>\n",
-       "9                  ...      ...                                                  ...\n",
-       "Dask Name: repartition, 3 expressions\n",
-       "Expr=Repartition(frame=MapPartitions(NestedFrame), new_partitions=1)"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "from dask_nested.datasets import generate_data\n",
+    "from nested_dask.datasets import generate_data\n",
     "\n",
     "# generate_data creates some toy data\n",
     "ndf = generate_data(10, 5)  # 10 rows, 5 nested rows per row\n",
@@ -89,20 +38,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<dask_nested.accessor.DaskNestSeriesAccessor at 0x160a5d090>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ndf[\"nested\"].nest"
    ]
@@ -116,20 +54,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['t', 'flux', 'band']"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ndf[\"nested\"].nest.fields"
    ]
@@ -145,60 +72,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>t</th>\n",
-       "      <th>flux</th>\n",
-       "      <th>band</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>npartitions=1</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>double[pyarrow]</td>\n",
-       "      <td>double[pyarrow]</td>\n",
-       "      <td>string[pyarrow]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<div>Dask Name: lambda, 5 expressions</div>"
-      ],
-      "text/plain": [
-       "Dask DataFrame Structure:\n",
-       "                             t             flux             band\n",
-       "npartitions=1                                                   \n",
-       "0              double[pyarrow]  double[pyarrow]  string[pyarrow]\n",
-       "9                          ...              ...              ...\n",
-       "Dask Name: lambda, 5 expressions\n",
-       "Expr=MapPartitions(lambda)"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "flat_nested = ndf[\"nested\"].nest.to_flat()\n",
     "flat_nested"
@@ -206,189 +82,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>t</th>\n",
-       "      <th>flux</th>\n",
-       "      <th>band</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>13.509629</td>\n",
-       "      <td>88.914048</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>8.634948</td>\n",
-       "      <td>79.231053</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>17.119157</td>\n",
-       "      <td>5.928274</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>19.561653</td>\n",
-       "      <td>46.766275</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>13.746892</td>\n",
-       "      <td>84.034938</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10.561542</td>\n",
-       "      <td>81.163032</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.354972</td>\n",
-       "      <td>3.397109</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>9.6219</td>\n",
-       "      <td>75.977237</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0.07304</td>\n",
-       "      <td>43.562784</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>7.657719</td>\n",
-       "      <td>12.362825</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5.652833</td>\n",
-       "      <td>46.674879</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4.813034</td>\n",
-       "      <td>30.925827</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>0.800736</td>\n",
-       "      <td>93.787431</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>13.317202</td>\n",
-       "      <td>36.264783</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3.159</td>\n",
-       "      <td>47.166825</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4.214378</td>\n",
-       "      <td>23.836587</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>13.1752</td>\n",
-       "      <td>38.680537</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>6.579436</td>\n",
-       "      <td>61.964227</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>8.143109</td>\n",
-       "      <td>25.909146</td>\n",
-       "      <td>g</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1.839672</td>\n",
-       "      <td>86.719744</td>\n",
-       "      <td>r</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           t       flux band\n",
-       "0  13.509629  88.914048    r\n",
-       "0   8.634948  79.231053    g\n",
-       "0  17.119157   5.928274    r\n",
-       "0  19.561653  46.766275    r\n",
-       "0  13.746892  84.034938    g\n",
-       "1  10.561542  81.163032    g\n",
-       "1   1.354972   3.397109    r\n",
-       "1     9.6219  75.977237    r\n",
-       "1    0.07304  43.562784    g\n",
-       "1   7.657719  12.362825    g\n",
-       "2   5.652833  46.674879    r\n",
-       "2   4.813034  30.925827    g\n",
-       "2   0.800736  93.787431    g\n",
-       "2  13.317202  36.264783    r\n",
-       "2      3.159  47.166825    g\n",
-       "3   4.214378  23.836587    g\n",
-       "3    13.1752  38.680537    r\n",
-       "3   6.579436  61.964227    g\n",
-       "3   8.143109  25.909146    g\n",
-       "3   1.839672  86.719744    r"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "flat_nested.head(20)"
    ]
@@ -404,121 +100,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>t</th>\n",
-       "      <th>flux</th>\n",
-       "      <th>band</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>[13.5096288   8.63494758 17.11915696 19.561652...</td>\n",
-       "      <td>[88.91404805 79.23105261  5.92827401 46.766274...</td>\n",
-       "      <td>['r' 'g' 'r' 'r' 'g']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>[10.5615423   1.35497198  9.62190035  0.073040...</td>\n",
-       "      <td>[81.16303204  3.39710897 75.97723713 43.562784...</td>\n",
-       "      <td>['g' 'r' 'r' 'g' 'g']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>[ 5.65283252  4.81303449  0.80073596 13.317201...</td>\n",
-       "      <td>[46.6748786  30.92582712 93.78743066 36.264783...</td>\n",
-       "      <td>['r' 'g' 'g' 'r' 'g']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>[ 4.214378   13.17520009  6.57943592  8.143109...</td>\n",
-       "      <td>[23.83658733 38.68053664 61.96422735 25.909146...</td>\n",
-       "      <td>['g' 'r' 'g' 'g' 'r']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>[4.31790223 9.2989414  0.19071925 7.55345992 7...</td>\n",
-       "      <td>[97.32244264 32.95566652 15.17553499 36.674948...</td>\n",
-       "      <td>['r' 'r' 'g' 'g' 'r']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>[ 0.8441804  17.12893578  5.99104788 16.905202...</td>\n",
-       "      <td>[ 4.58329024 35.91586029 20.12656116 43.806012...</td>\n",
-       "      <td>['g' 'g' 'g' 'r' 'r']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>[ 2.17272952 11.47100691 19.78062851 12.968281...</td>\n",
-       "      <td>[52.14204136 84.87265098 25.26807129 94.230023...</td>\n",
-       "      <td>['g' 'g' 'r' 'r' 'r']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>[ 7.31546622 14.96282356 15.17099992 15.028434...</td>\n",
-       "      <td>[41.17012344 89.94693463 84.09613648 53.773103...</td>\n",
-       "      <td>['g' 'r' 'r' 'r' 'g']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>[ 1.69038072 11.05890727 11.28588246  8.962195...</td>\n",
-       "      <td>[25.24952237 11.87511229 95.16037222 83.882477...</td>\n",
-       "      <td>['r' 'r' 'r' 'r' 'g']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>[ 1.20415091 18.31529619 16.92607067 15.473383...</td>\n",
-       "      <td>[43.42305605 76.56653572  6.47013062 13.418778...</td>\n",
-       "      <td>['g' 'r' 'r' 'r' 'r']</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                   t  ...                   band\n",
-       "0  [13.5096288   8.63494758 17.11915696 19.561652...  ...  ['r' 'g' 'r' 'r' 'g']\n",
-       "1  [10.5615423   1.35497198  9.62190035  0.073040...  ...  ['g' 'r' 'r' 'g' 'g']\n",
-       "2  [ 5.65283252  4.81303449  0.80073596 13.317201...  ...  ['r' 'g' 'g' 'r' 'g']\n",
-       "3  [ 4.214378   13.17520009  6.57943592  8.143109...  ...  ['g' 'r' 'g' 'g' 'r']\n",
-       "4  [4.31790223 9.2989414  0.19071925 7.55345992 7...  ...  ['r' 'r' 'g' 'g' 'r']\n",
-       "5  [ 0.8441804  17.12893578  5.99104788 16.905202...  ...  ['g' 'g' 'g' 'r' 'r']\n",
-       "6  [ 2.17272952 11.47100691 19.78062851 12.968281...  ...  ['g' 'g' 'r' 'r' 'r']\n",
-       "7  [ 7.31546622 14.96282356 15.17099992 15.028434...  ...  ['g' 'r' 'r' 'r' 'g']\n",
-       "8  [ 1.69038072 11.05890727 11.28588246  8.962195...  ...  ['r' 'r' 'r' 'r' 'g']\n",
-       "9  [ 1.20415091 18.31529619 16.92607067 15.473383...  ...  ['g' 'r' 'r' 'r' 'r']\n",
-       "\n",
-       "[10 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "list_nested = ndf[\"nested\"].nest.to_lists()\n",
     "list_nested.compute()"