edited setup guide

Author: williamgrimes

README.md

@@ -1,38 +1,32 @@
 # Introduction to Python Programming
-
 This repository contains a collection of Jupyter/IPython Notebooks introducing programming concepts in Python. The notebooks are intended to guide students in learning the basic functionality of programming Python, and some of the most frequently used modules. 
 
-## Running Notebooks ##
+## Getting started
+### 1. Install Python
+If you have not yet installed Python the [**Anaconda**](https://store.continuum.io/cshop/anaconda/) distribution by [**Continuum Analytics**](http://www.continuum.io/) is highly recommended. Anaconda is a completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing. Anaconda includes an easy-to-use installer for almost every platform, drastically reducing the burden of setting up the environment. In addition it comes packaged with the most useful Python libraries.
 
-To run a notebook open a _Terminal_, and type the following command:
+### 2. Run Jupyter Notebook
+To run a notebook open a _Terminal_, in the directory of this course, and type the following command:
 
     jupyter notebook
 
 The notebook will launch in a browser from the present working directory.
 
-## Programming Environment
-
-These notebooks are written in **Python 3**. 
-
-If the default Python on your system is Python 3, if you are running Python 2, you might want to consider adding Python 3 to your system. 
-
-N.B. if you are not sure which version of Python you are running then open a  _Terminal_, and type the following command:
-
-    python -V
-
-In this regards, you may find useful to take a look at the *Programming Environment* [notebook]() where you 
-could find links and details on how to set up your environment depending on your platform.
-
-### Requirements
+### 3. Start learning
+Begin working your way through the numbered courses in the Jupyter Notebook.
 
+## Requirements
 * Python 3.x (2.x would work as well)
 * IPython 4.x (with **notebook support**) or Jupyter: 
     * `pip install ipython[notebook]` (OR)
     * `pip install jupyter`
 
+N.B. these coursenotebooks are written in **Python 3**, if you are running Python 2, you might want to consider adding Python 3 to your system. If you are not sure which version of Python you are running then open a  _Terminal_, and type the following command:
+
+    python -V
+
 ### Acknowledgements
-The repository is edited from: [Valerio Maggio](https://github.com/leriomaggio/python-in-a-notebook)
+This repository was edited from `python-in-a-notebook` by [Valerio Maggio](https://github.com/leriomaggio/python-in-a-notebook).
 
 ## License and Sharing Material
-
 <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/80x15.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.