Documentation fixes

README.md

@@ -7,7 +7,7 @@
 
 ## Features
 `PyFunctional` makes creating data pipelines easy by using chained functional operators. Here are a
-few examples of what `PyFunctional` and its builtin tools can do:
+few examples of what it can do:
 
 * Chained operators: `seq(1, 2, 3).map(lambda x: x * 2).reduce(lambda x, y: x + y)`
 * Expressive and feature complete API

functional/pipeline.py

@@ -344,7 +344,11 @@ def cartesian(self, *iterables, **kwargs):
 
         The keyword argument `repeat` is read from kwargs to pass to itertools.cartesian.
 
+        >>> seq.range(2).cartesian(range(2))
+        [(0, 0), (0, 1), (1, 0), (1, 1)]
+
         :param iterables: elements for cartesian product
+        :param kwargs: the variable `repeat` is read from kwargs
         :return: cartesian product
         """
         return self._transform(transformations.cartesian_t(iterables, kwargs.get('repeat', 1)))

functional/streams.py

@@ -64,7 +64,7 @@ def open(self, path, delimiter=None, mode='r', buffering=-1, encoding=None, erro
         allowed.
 
         >>> seq.open('examples/gear_list.txt').take(1)
-        [u'tent\n']
+        [u'tent\\n']
 
         :param path: path to file
         :param delimiter: delimiter to split joined text on. if None, defaults to per line split