diff --git a/tutorials/intermediate/color_cycle.py b/tutorials/intermediate/color_cycle.py
index 9adbdbcd7341..cc400e3e7dac 100644
--- a/tutorials/intermediate/color_cycle.py
+++ b/tutorials/intermediate/color_cycle.py
@@ -35,10 +35,10 @@
 
 ###############################################################################
 # So ``yy[:, i]`` will give you the ``i``-th offset sine curve. Let's set the
-# default prop_cycle using :func:`matplotlib.pyplot.rc`. We'll combine a color
-# cycler and a linestyle cycler by adding (``+``) two ``cycler``'s together.
-# See the bottom of this tutorial for more information about combining
-# different cyclers.
+# default ``prop_cycle`` using :func:`matplotlib.pyplot.rc`.  We'll combine a
+# color cycler and a linestyle cycler by adding (``+``) two ``cycler``'s
+# together.  See the bottom of this tutorial for more information about
+# combining different cyclers.
 default_cycler = (cycler(color=['r', 'g', 'b', 'y']) +
                   cycler(linestyle=['-', '--', ':', '-.']))
 
@@ -48,7 +48,7 @@
 ###############################################################################
 # Now we'll generate a figure with two axes, one on top of the other. On the
 # first axis, we'll plot with the default cycler. On the second axis, we'll
-# set the prop_cycler using :func:`matplotlib.axes.Axes.set_prop_cycle`
+# set the ``prop_cycle`` using :func:`matplotlib.axes.Axes.set_prop_cycle`,
 # which will only set the ``prop_cycle`` for this :mod:`matplotlib.axes.Axes`
 # instance. We'll use a second ``cycler`` that combines a color cycler and a
 # linewidth cycler.
@@ -67,16 +67,16 @@
 plt.show()
 
 ###############################################################################
-# Setting ``prop_cycler`` in the ``matplotlibrc`` file or style files
-# -------------------------------------------------------------------
+# Setting ``prop_cycle`` in the ``matplotlibrc`` file or style files
+# ------------------------------------------------------------------
 #
-# Remember, if you want to set a custom ``prop_cycler`` in your
+# Remember, if you want to set a custom cycler in your
 # ``.matplotlibrc`` file or a style file (``style.mplstyle``), you can set the
 # ``axes.prop_cycle`` property:
 #
 # .. code-block:: python
 #
-#    axes.prop_cycle    : cycler(color='bgrcmyk')
+#    axes.prop_cycle : cycler(color='bgrcmyk')
 #
 # Cycling through multiple properties
 # -----------------------------------