DOC: de-pep8ified indexing.rst and cleaned up the docs a bit

Author: jreback

doc/source/cookbook.rst

@@ -151,6 +151,10 @@ Timeseries
 `Vectorized Lookup
 <http://stackoverflow.com/questions/13893227/vectorized-look-up-of-values-in-pandas-dataframe>`__
 
+Turn a matrix with hours in columns and days in rows into a continous row sequence in the form of a time series.
+`How to rearrange a python pandas dataframe?
+<http://stackoverflow.com/questions/15432659/how-to-rearrange-a-python-pandas-dataframe>`__
+
 .. _cookbook.resample:
 
 Resampling
@@ -233,10 +237,6 @@ The :ref:`CSV <io.read_csv_table>` docs
 `Dealing with bad lines
 <https://github.com/pydata/pandas/issues/2886>`__
 
-Turn a matrix with hours in columns and days in rows into a continous row sequence in the form of a time series.
-`How to rearrange a python pandas dataframe?
-<http://stackoverflow.com/questions/15432659/how-to-rearrange-a-python-pandas-dataframe>`__
-
 .. _cookbook.sql:
 
 SQL
@@ -273,7 +273,7 @@ The :ref:`HDFStores <io.hdf5>` docs
 `Merging on-disk tables with millions of rows
 <http://stackoverflow.com/questions/14614512/merging-two-tables-with-millions-of-rows-in-python/14617925#14617925>`__
 
-Deduplicating a large store by chunks, essentially a recusive reduction operation. Shows function for taking in data from 
+Deduplicating a large store by chunks, essentially a recusive reduction operation. Shows a function for taking in data from 
 csv file and creating a store by chunks, with date parsing as well.
 `See here
 <http://stackoverflow.com/questions/16110252/need-to-compare-very-large-files-around-1-5gb-in-python/16110391#16110391>`__