1.0alpha5 upload (doc updates)

README.md

@@ -25,8 +25,9 @@ The system is built around quickly **visualizing target values** and **comparing
  - min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness
 
 # Installation
+Sweetviz currently supports Python 3.6+ and Pandas 0.25.3+. Reports are output using the base "os" module, so custom environments such as Google Colab which require custom file operations are not yet supported, although I am looking into a solution. 
 ## Using pip
-Currently, the best way to install sweetviz (other than from source) is to use pip:
+The best way to install sweetviz (other than from source) is to use pip:
 ```
 pip install sweetviz
 ```

setup.py

@@ -5,7 +5,7 @@
 
 setuptools.setup(
  name="sweetviz",
- version="1.0alpha4",
+ version="1.0alpha5",
  author="Francois Bertrand",
  author_email="[email protected]",
  description="A pandas-based library to visualize and compare datasets.",

sweetviz/templates/dataframe_summary.html

@@ -3,7 +3,7 @@
  <div class="pos-logo-group">
  <div class="pos-logo im-logo"></div>
  <div class="pos-credits text-credits">
- v1.0.alpha4<br>
+ v1.0.alpha5<br>
  Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br>
  Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a>
  </div>