Correction one more mention of tutorials

felicitymay · web-flow · commit 552d2edb5b12 · 2020-02-19T16:35:59.000Z
diff --git a/docs/language/learn-ql/python/control-flow.rst b/docs/language/learn-ql/python/control-flow.rst
@@ -109,7 +109,7 @@ Example finding mutually exclusive blocks within the same function
    )
    select b1, b2
 
-➤ `See this in the query console <https://lgtm.com/query/671000028/>`__. This typically gives a very large number of results, because it is a common occurrence in normal control flow. It is, however, an example of the sort of control-flow analysis that is possible. Control-flow analyses such as this are an important aid to data flow analysis which is covered in the next tutorial.
+➤ `See this in the query console <https://lgtm.com/query/671000028/>`__. This typically gives a very large number of results, because it is a common occurrence in normal control flow. It is, however, an example of the sort of control-flow analysis that is possible. Control-flow analyses such as this are an important aid to data flow analysis. For more information, see :doc:`Analyzing data flow and tracking tainted data in Python <taint-tracking>`.
 
 Further reading
 ---------------

Original file line number	Diff line number	Diff line change
`@@ -109,7 +109,7 @@ Example finding mutually exclusive blocks within the same function`
`109`	`109`	`)`
`110`	`110`	`select b1, b2`
`111`	`111`
`112`		-➤ `See this in the query console <https://lgtm.com/query/671000028/>`__. This typically gives a very large number of results, because it is a common occurrence in normal control flow. It is, however, an example of the sort of control-flow analysis that is possible. Control-flow analyses such as this are an important aid to data flow analysis which is covered in the next tutorial.
	`112`	+➤ `See this in the query console <https://lgtm.com/query/671000028/>`__. This typically gives a very large number of results, because it is a common occurrence in normal control flow. It is, however, an example of the sort of control-flow analysis that is possible. Control-flow analyses such as this are an important aid to data flow analysis. For more information, see :doc:`Analyzing data flow and tracking tainted data in Python <taint-tracking>`.
`113`	`113`
`114`	`114`	`Further reading`
`115`	`115`	`---------------`