diff --git a/README.md b/README.md
index 748d5e6d9dec16f18b5910f2e5c6bb2023f2f55a..143a4230f4d5d65691467169f2686d6fff5084fc 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,10 @@ This repository consists of a collection of python examples intended as an
 introduction on the usage of python in data analysis, especially for the
 advanced laboratories in physics at the University of Freiburg. In previous
 years code examples for [ROOT](https://root.cern.ch/) have been provided.
-Material showing how to use python for the same task was missing. 
+Material showing how to use python for the same task was missing.
+
+If you think this tutorial is useful, lacks important information, or is
+unclear, don't hesitate to give [feedback](mailto:frank@sauerburger.com).
 
 # Table of Contents
 1. [Installation](#installation)
@@ -18,7 +21,10 @@ Material showing how to use python for the same task was missing.
 To get started with python for data analysis in the advanced laboratories you
 need the python interpreter. In this document we will use `python3`. The
 additional packages `numpy`, `scipy` and `matplotlib` are useful for data
-analysis and data presentation. To install all the packages on Ubuntu, you
+analysis and data presentation.
+
+## Ubuntu
+To install all the packages on Ubuntu, you
 can run the following commands.
 
 <!-- console -->
@@ -31,7 +37,12 @@ $ pip3 install --user numpy scipy matplotlib
 The `--user` argument for `pip` installs the python package in your home
 directory, which hides potentially older packages installed with `apt-get`.
 
-# Prerequisites and Structure
+## Windows
+Since I'm not using python on Windows myself, I don't have first-hand experiance
+with it. However I think [Anaconda](https://www.continuum.io/downloads) is a
+good solution for windows users, which provides all required packages. 
+
+# Prerequisites and About the Tutorial
 
 This tutorial assumes that you have some experience with python, which
 includes variable assignment, function calling and function definition, if statements and
@@ -49,7 +60,7 @@ other. The examples show code snippets which you are supposed to copy to a text
 editor. The scripts can then be executed in a terminal. Besides this modus
 operandi, you are invited to use
 the interactive mode of python or ipython instead and copying the code directly
-to the python interpreter. Recently jupyter notebooks have been
+to the python interpreter. Recently [jupyter](http://jupyter.org/) notebooks have been
 become very popular. I recommend you to try out these different platforms and
 choose the one most suited for you.