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authorDamien George <damien.p.george@gmail.com>2018-03-15 15:50:51 +1100
committerDamien George <damien.p.george@gmail.com>2018-03-15 15:50:51 +1100
commit0db49c37a4e8d2516ea0206f4e800b907cd4221f (patch)
tree9e0d9677ad47953eb577979dfd3060f79ad0c50f /docs/reference/constrained.rst
parentc926e72750ddc410f2ae4f1b28d17dfb09b5ca2c (diff)
docs: Fix some references and RST markup to eliminate Sphinx warnings.
Diffstat (limited to 'docs/reference/constrained.rst')
-rw-r--r--docs/reference/constrained.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/reference/constrained.rst b/docs/reference/constrained.rst
index e7de459bc..edac0ae68 100644
--- a/docs/reference/constrained.rst
+++ b/docs/reference/constrained.rst
@@ -185,7 +185,7 @@ a file it will save RAM if this is done in a piecemeal fashion. Rather than
creating a large string object, create a substring and feed it to the stream
before dealing with the next.
-The best way to create dynamic strings is by means of the string `format`
+The best way to create dynamic strings is by means of the string ``format()``
method:
.. code::
@@ -259,7 +259,7 @@ were a string.
**Runtime compiler execution**
The Python funcitons `eval` and `exec` invoke the compiler at runtime, which
-requires significant amounts of RAM. Note that the `pickle` library from
+requires significant amounts of RAM. Note that the ``pickle`` library from
`micropython-lib` employs `exec`. It may be more RAM efficient to use the
`ujson` library for object serialisation.