diff --git a/RELEASE.rst b/RELEASE.rst
index 26f3265029696..4c18ea3af84c8 100644
--- a/RELEASE.rst
+++ b/RELEASE.rst
@@ -84,7 +84,6 @@ pandas 0.10.0
   - Add support for Panel4D, a named 4 Dimensional stucture
   - Add support for ndpanel factory functions, to create custom,
     domain-specific N-Dimensional containers
-  - 'density' property in `SparseSeries` (#2384)
 
 **API Changes**
 
diff --git a/doc/source/io.rst b/doc/source/io.rst
index b8d310a920533..bbf473628cafb 100644
--- a/doc/source/io.rst
+++ b/doc/source/io.rst
@@ -1158,6 +1158,13 @@ Notes & Caveats
         store.append('wp_big_strings', wp)
         store.select('wp_big_strings')
 
+Compatibility
+~~~~~~~~~~~~~
+
+0.10 of ``HDFStore`` is backwards compatible for reading tables created in a prior version of pandas,
+however, query terms using the prior (undocumented) methodology are unsupported. You must read in the entire
+file and write it out using the new format to take advantage of the updates.
+
 
 Performance
 ~~~~~~~~~~~
diff --git a/doc/source/v0.10.0.txt b/doc/source/v0.10.0.txt
index c23aeb9e04406..4e044d41bc331 100644
--- a/doc/source/v0.10.0.txt
+++ b/doc/source/v0.10.0.txt
@@ -161,7 +161,6 @@ Updated PyTables Support
 
 :ref:`Docs <io-hdf5>` for PyTables ``Table`` format & several enhancements to the api. Here is a taste of what to expect.
 
-
 .. ipython:: python
    :suppress:
    :okexcept:
@@ -221,7 +220,7 @@ Updated PyTables Support
 
      # remove all nodes under this level
      store.remove('food')
- store
+     store
 
 - added mixed-dtype support!
 
@@ -230,7 +229,8 @@ Updated PyTables Support
       df['string'] = 'string'
       df['int']    = 1
       store.append('df',df)
-      df1 = store.select('df') df1
+      df1 = store.select('df') 
+      df1
       df1.get_dtype_counts()
 
 - performance improvments on table writing
@@ -258,6 +258,12 @@ Updated PyTables Support
    import os
    os.remove('store.h5')
 
+**Compatibility**
+
+0.10 of ``HDFStore`` is backwards compatible for reading tables created in a prior version of pandas,
+however, query terms using the prior (undocumented) methodology are unsupported. You must read in the entire
+file and write it out using the new format to take advantage of the updates.
+
 N Dimensional Panels (Experimental)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~