diff --git a/README.md b/README.md
index ac043f5586498..4b9c9505e320a 100644
--- a/README.md
+++ b/README.md
@@ -160,10 +160,9 @@ pip install pandas
 ```
 
 ## Dependencies
-- [NumPy](http://www.numpy.org): 1.7.0 or higher
-- [python-dateutil](https://labix.org/python-dateutil): 1.5 or higher
-- [pytz](https://pythonhosted.org/pytz)
-    - Needed for time zone support with ``pandas.date_range``
+- [NumPy](http://www.numpy.org): 1.9.0 or higher
+- [python-dateutil](https://labix.org/python-dateutil): 2.5.0 or higher
+- [pytz](https://pythonhosted.org/pytz): 2011k or higher
 
 See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies)
 for recommended and optional dependencies.
@@ -205,9 +204,6 @@ See the full instructions for [installing from source](https://pandas.pydata.org
 ## Documentation
 The official documentation is hosted on PyData.org: https://pandas.pydata.org/pandas-docs/stable
 
-The Sphinx documentation should provide a good starting point for learning how
-to use the library. Expect the docs to continue to expand as time goes on.
-
 ## Background
 Work on ``pandas`` started at AQR (a quantitative hedge fund) in 2008 and
 has been under active development since then.
diff --git a/setup.py b/setup.py
index 443f3eba69b4d..7dbf6c84a0451 100755
--- a/setup.py
+++ b/setup.py
@@ -198,10 +198,6 @@ def build_extensions(self):
 munging and cleaning data, analyzing / modeling it, then organizing the results
 of the analysis into a form suitable for plotting or tabular display. pandas is
 the ideal tool for all of these tasks.
-
-Notes
------
-Windows binaries built against NumPy 1.8.1
 """
 
 DISTNAME = 'pandas'