doc(quick+ops) math-ref sample formula

Author: ankostis

docs/source/index.rst

@@ -79,10 +79,11 @@ separately with your OS tools)::
    pip install graphtik[plot]
 
 
-Let's build a *graphtik* computation :term:`pipeline` that produces x3 :term:`outputs`
-out of 2 :term:`inputs` `a` and `b`:
+Let's build a *graphtik* computation :term:`pipeline` that produces the following
+x3 :term:`outputs` out of x2 :term:`inputs` (`a` and `b`):
 
 .. math::
+   :label: sample-formula
 
    a \times b
 

docs/source/operations.rst

@@ -231,8 +231,8 @@ Considerations for when building pipelines
 ------------------------------------------
 When many operations are composed into a computation graph, Graphtik matches up
 the values in their *needs* and *provides* to form the edges of that graph
-(see :ref:`graph-composition` for more on that), like the operations from the script
-in :ref:`quick-start`:
+(see :ref:`graph-composition` for more on that), like the operations from
+the sample formula :eq:`sample-formula` in :ref:`quick-start` section:
 
    >>> from operator import mul, sub
    >>> from functools import partial

docs/source/pipelines.rst

@@ -8,7 +8,7 @@ instances into a runnable computation graph.
 
 The simplest use case is to assemble a collection of individual operations
 into a runnable computation graph.
-The example script from :ref:`quick-start` illustrates this well:
+The sample formula :eq:`sample-formula` from :ref:`quick-start` section illustrates this well:
 
     >>> from operator import mul, sub
     >>> from functools import partial
@@ -34,7 +34,7 @@ The call here to ``compose()`` yields a runnable computation graph that looks li
 This yields a graph which looks like this (see :ref:`plotting`):
 
 .. graphtik::
-    :name: formula
+    :name: sample formula :eq:`sample-formula`
 
     >>> formula.plot('calc_power.svg')  # doctest: +SKIP