email update

Author: open-risk

README.md

@@ -1,8 +1,9 @@
 Intro
 =========================
+
 correlationMatrix is a Python powered library for the statistical analysis and visualization of correlation 
 phenomena. It can be used to analyze any dataset that captures timestamped values (timeseries) 
-The present use cases focus on typical analyses of market correlations, e.g via factor models
+The present use cases focus on typical analysis of market correlations, e.g., via factor models
 
 You can use correlationMatrix to
 
@@ -31,7 +32,6 @@ Examples
 
 The examples directory contains examples illustrating the current functionality
 
-
 Display correlation matrix
 
 ![image](examples/vandermonde.png)

setup.py

@@ -29,7 +29,7 @@
       long_description=long_descr,
       long_description_content_type='text/x-rst',
       author='Open Risk',
-      author_email='info@openrisk.eu',
+      author_email='info@openriskmanagement.com',
       packages=['correlationMatrix', 'correlationMatrix.utils', 'tests', 'datasets', 'examples.python'],
       include_package_data=True,
       url='https://github.com/open-risk/correlationMatrix',