updating advanced indexing

Author: negin513

intermediate/indexing/advanced-indexing.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "## Learning Objectives\n",
     "\n",
-    "* Orthogonal vs. Vectorized and Pointwise Indexing"
+    "* Orthogonal vs. Pointwise Indexing"
    ]
   },
   {
@@ -17,7 +17,7 @@
    "source": [
     "## Overview\n",
     "\n",
-    "In the previous notebooks, we learned basic forms of indexing with Xarray (positional and name based dimensions, integer and label based indexing), datetime Indexing, and nearest neighbor lookups. Xarray positional indexing deviates from the NumPy when indexing with multiple arrays like arr[[0, 1], [0, 1]]. In this tutorial we learn about this difference and how to do vectorized/pointwise indexing using Xarray.\n",
+    "In the previous notebooks, we learned basic forms of indexing with Xarray (positional and name based dimensions, integer and label based indexing), datetime Indexing, and nearest neighbor lookups. Xarray positional indexing deviates from the NumPy when indexing with multiple arrays like `arr[[0, 1], [0, 1]]`. In this tutorial we learn about this difference and how to do vectorized/pointwise indexing using Xarray.\n",
     "\n",
     "For this notebook, first, we should learn about orthogonal (i.e. outer) and vectorized (i.e. pointwise) indexing concepts. \n",
     "\n",