typo

Author: negin513

intermediate/indexing/advanced-indexing.ipynb

@@ -239,7 +239,9 @@
     "To trigger vectorized indexing behavior, you will need to provide the selection dimensions with a new **shared** output dimension name. This means that the dimensions of both indexers must be the same, and the output will have the same dimension name as the indexers.\n",
     "```\n",
     "\n",
-    "Let's see how this works with an example. A researcher wants to find the nearest climate model grid cell to a collection of observation sites. She has the latitude and longitude of the observation sites as following:"
+    "Let's see how this works with an example:\n",
+    "\n",
+    "A researcher wants to find the nearest climate model grid cell to a collection of observation sites. They have the latitude and longitude of the observation sites as following:"
    ]
   },
   {
@@ -257,7 +259,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "If the researcher use the lists to index the DataArray, they will get the orthogonal indexing behavior, which is not what they wants."
+    "If the researcher use the lists to index the DataArray, they will get the orthogonal indexing behavior, which is not what they want."
    ]
   },
   {
@@ -266,7 +268,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da_air.sel(lat=obs_lats, lon=obs_lats, method=\"nearest\")  # -- orthogonal indexing"
+    "da_air.sel(lat=obs_lats, lon=obs_lats, method=\"nearest\") # -- orthogonal indexing"
    ]
   },
   {
@@ -400,6 +402,11 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -409,7 +416,8 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3"
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
   },
   "toc": {
    "base_numbering": 1,