Clean up previous work and add release note.

Author: stefanseefeld

docs/source/whatsnew/0.6.0.txt

@@ -0,0 +1,45 @@
+Release |version|
+-----------------
+
+:Release: |version|
+:Date: TBD
+
+New Features
+------------
+
+None
+
+Experimental Features
+---------------------
+
+.. warning::
+
+   Experimental features are subject to change.
+
+None
+
+New Backends
+------------
+
+None
+
+Improved Backends
+-----------------
+
+* Optimized `chunks` backend to allow parallel evaluation using `dask`
+  whenever the iteratable is a list of callables.
+
+API Changes
+-----------
+
+None
+
+Bug Fixes
+---------
+
+None
+
+Miscellaneous
+-------------
+
+None

odo/chunks.py

@@ -35,7 +35,9 @@ def __init__(self, data):
     def __iter__(self):
         if callable(self.data):
             return self.data()
-        elif isinstance(self.data, list) and len(self.data) and callable(self.data[0]):
+        elif (isinstance(self.data, list) and
+              len(self.data) and
+              callable(self.data[0])):
             # If this is a set of callables, evaluate
             # them using dask before returning an iterator for them
             p = []

odo/convert.py

@@ -218,14 +218,8 @@ def iterator_to_DataFrame_chunks(seq, chunksize=1024, **kwargs):
         return chunks(pd.DataFrame)(data)
 
     # TODO: Decide whether we should support the `add_index` flag at all.
-    #       If not, the following code can be removed (and an exception be
-    #       raised.
-    #
-    #else:
-    #    raise ValueError("The 'add_index' flag is not supported by this backend.")
-
-    # Otherwise, we need to post-process the converted DataFrame objects,
-    # so we use an iterator...
+    # If so, we need to post-process the converted DataFrame objects sequencially,
+    # so we can't parallelize the process.
     try:
         first, rest = next(seq2), seq2
     except StopIteration: