Update docs/tutorials/low_level.ipynb

Co-authored-by: Derek T. Jones <[email protected]>

Author: dougbrn

docs/tutorials/low_level.ipynb

@@ -73,7 +73,7 @@
     "You may already know [`.str` accessor](https://pandas.pydata.org/pandas-docs/stable/reference/series.html#api-series-str) for strings or [`.dt` for datetime-like](https://pandas.pydata.org/pandas-docs/stable/reference/series.html#timedelta-methods) data.\n",
     "Since v2.0, pandas also supports few accessors for `ArrowDtype`d Series, `.list` for list-arrays and `.struct` for struct-arrays.\n",
     "\n",
-    "`nested-pandas` extends this concept and provides `.nest` accessor for `NestedDtype`d Series, which gives user an object to work with nested data more efficiently and flexibly.\n",
+    "`nested-pandas` extends this concept and provides the `.nest` accessor for `NestedDtype`d Series, which gives user an object to work with nested data more efficiently and flexibly.\n",
     "\n",
     "> **Note**: The `.nest` accessor shares much of it's API with the `NestedSeries` API, as `NestedSeries` uses the `.nest` accessor under the hood. As a result, many `.nest` operations can be used directly, without invoking the \"`.nest`\" when working with a `NestedSeries`, but some lower-level functionalities remain unique to the `.nest` accessor."
    ]