diff --git a/WHATSNEW.md b/WHATSNEW.md
index 1b5a6e99..4e2c6ae9 100644
--- a/WHATSNEW.md
+++ b/WHATSNEW.md
@@ -2,7 +2,7 @@
 
 These are new features and improvements of note in each release.
 
-## v0.9.0 (June 14th, 2018)
+## v0.9.0 (Aug 1st, 2018)
 
 ### New features
 
@@ -11,12 +11,16 @@ These are new features and improvements of note in each release.
    alternative data sets, `pyfolio` is now completely independent of benchmarks.
    If a benchmark is passed, all benchmark-related analyses will be performed;
    if not, they will simply be skipped. By [George Ho](https://github.com/eigenfoo)
+  - Performance attribution tearsheet [PR441](https://github.com/quantopian/pyfolio/pull/441), [PR433](https://github.com/quantopian/pyfolio/pull/433), [PR442](https://github.com/quantopian/pyfolio/pull/442). By [Vikram Narayan](https://github.com/vikram-narayan).
+  - Improved implementation of `get_turnover` [PR332](https://github.com/quantopian/pyfolio/pull/432). By [Gus Gordon](https://github.com/gusgordon).
+  - Users can now pass in extra rows (as a dict or OrderedDict) to display in the perf_stats table [PR445](https://github.com/quantopian/pyfolio/pull/445). By [Gus Gordon](https://github.com/gusgordon).
 
 ### Maintenance
 
  - Many features have been more extensively troubleshooted, maintained and
    tested. By [Ana Ruelas](https://github.com/ahgnaw) and [Vikram
    Narayan](https://github.com/vikram-narayan).
+ - Various fixes to support pandas versions >= 0.18.1 [PR443](https://github.com/quantopian/pyfolio/pull/443). By [Andrew Daniels](https://github.com/yankees714).
 
 ## v0.8.0 (Aug 23rd, 2017)
 
diff --git a/setup.py b/setup.py
index 71621bfa..8eaa73a6 100755
--- a/setup.py
+++ b/setup.py
@@ -24,7 +24,6 @@
 AUTHOR_EMAIL = 'opensource@quantopian.com'
 URL = "https://github.com/quantopian/pyfolio"
 LICENSE = "Apache License, Version 2.0"
-VERSION = "0.8.0"
 
 classifiers = ['Development Status :: 4 - Beta',
                'Programming Language :: Python',
@@ -53,12 +52,11 @@
     'scipy>=0.14.0',
     'scikit-learn>=0.16.1',
     'seaborn>=0.7.1',
-    'pandas-datareader>=0.2',
-    'empyrical>=0.3.4'
+    'empyrical>=0.5.0'
 ]
 
 test_reqs = ['nose>=1.3.7', 'nose-parameterized>=0.5.0', 'runipy>=0.1.3']
-bayesian_reqs = ['pymc3 >= 3.1']
+bayesian_reqs = ['pymc3 >= 3.5']
 
 extras_reqs = {
     'bayesian': bayesian_reqs,