Apply suggestions from code review

Co-authored-by: Kathy Pippert <[email protected]>

examples/012_fatigue_example.py

@@ -11,12 +11,11 @@
 
 A random load time series is created. Taking into account that the load is assumed
 proportional, rainflow counting is applied to the load time series.
-Load ranges are then applied on the stress combination method and damage is evaluated
+Load ranges are then applied on the stress combination method, and damage is evaluated
 by using a dummy S-N curve.
 
 Be aware that the fatpack package is not developed by Ansys, so it is the responsibility
-of the user to verify that it works as expected. For further details:
-https://pypi.org/project/fatpack/
+of the user to verify that it works as expected. For more information, see the `fatback package <https://pypi.org/project/fatpack/>`_,
 
 """
 
@@ -76,7 +75,7 @@
 # Load time series and apply rainflow counting
 # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 # A random time series is created. Load is assumed proportional, so rainflow counting
-# can be directly done on load time series, to get load ranges.
+# can be directly done on the load time series to get the load ranges.
 # No mean stress correction is applied.
 #
 load_factor_time_series = np.random.normal(-1, 2.5, size=100)