Small edits

advanced/apply_ufunc/example-interp.ipynb

@@ -17,7 +17,7 @@
     "tags": []
    },
    "source": [
-    "This example will illustrate how to conveniently apply an unvectorized function `func` to xarray objects using `apply_ufunc`. `func` expects 1D numpy arrays and returns a 1D numpy array. Our goal is to coveniently apply this function along a dimension of xarray objects that may or may not wrap dask arrays with a signature.\n",
+    "This example will illustrate how to conveniently apply an unvectorized function `func` to xarray objects using `apply_ufunc`. `func` expects 1D numpy arrays and returns a 1D numpy array. Our goal is to conveniently apply this function along a dimension of xarray objects that may or may not wrap dask arrays with a signature.\n",
     "\n",
     "We will illustrate this using [`np.interp`](https://numpy.org/doc/stable/reference/generated/numpy.interp.html): \n",
     "\n",
@@ -43,6 +43,8 @@
     "1. Automatically parallelization with dask arrays using `dask=\"parallelized\"`\n",
     "1. High-performance vectorization with numba and `vectorize=False`.\n",
     "\n",
+    "It puts together all the concepts covered earlier.\n",
+    "\n",
     "\n",
     "```{tip}\n",
     "We'll reduce the length of error messages using in this tutorial using `%xmode minimal` See the [ipython documentation](https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-xmode) for details.\n",