spellcheck

advanced/apply_ufunc/simple_dask_apply_ufunc.ipynb

@@ -238,7 +238,7 @@
     "\n",
     "Let's again use the wrapper trick to understand what `squared_error` receives.\n",
     "\n",
-    "We see that it receives a dask array (analagous to the numpy array in the previous example)."
+    "We see that it receives a dask array (analogous to the numpy array in the previous example)."
    ]
   },
   {
@@ -465,10 +465,10 @@
     "user_expressions": []
    },
    "source": [
-    "### Understanding whats happening\n",
+    "### Understanding what is happening\n",
     "\n",
     "\n",
-    "It is very important to understand what `dask=\"parallelized\"` does. It is quite convenient and works well for \"blockwise\" or \"emabrassingly parallel\" operations.\n",
+    "It is very important to understand what `dask=\"parallelized\"` does. It is quite convenient and works well for \"blockwise\" or \"embarrassingly parallel\" operations.\n",
     "\n",
     "These are operations where one block or chunk of the output array corresponds to one block or chunk of the input array. Specifically, the blocks or chunks of the _core dimension_ is what matters.\n",
     "\n",
@@ -495,7 +495,7 @@
     "user_expressions": []
    },
    "source": [
-    "The core dimension for `trapz` is `lon`, and there is only one chunk along `lon`. This means that integrating along `lon` is a \"blockwise\" or \"embarassingly parallel\" operation and `dask=\"parallelized\"` works quite well. \n",
+    "The core dimension for `trapz` is `lon`, and there is only one chunk along `lon`. This means that integrating along `lon` is a \"blockwise\" or \"embarrassingly parallel\" operation and `dask=\"parallelized\"` works quite well. \n",
     "\n",
     "```{tip} Question\n",
     "Do you understand why `integrate(ds)` when `ds` has a single chunk along `lon` is a \"embarassingly parallel\" operation?\n",