Step 1: Install your python platform. We recommend Anaconda.

	   https://en.wikipedia.org/wiki/Python_(programming_language)

	   Anaconda simplifies package management and deployment of
	   Python Libraries, and R Language/with an Interface to Python.
	   We will need SciPY, NumPy, and pandas (data structures to manipulate
	   time series)  for our class.

	   https://www.continuum.io/downloads

	   2 brances 2.7.x and 3.6.x - in class we will work wtih 2.7.x, most
	   of the modules in class will work with 3.6.x with minor tweeks, by
	   changing the syntax of the print statment.

Step 2: Install Anaconda

Step 3: Install Libraries.
	

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SciPy & NumPy support in Anaconda :
	Anaconda include NumPy, pandas, SciPy, Matplotlib (for plotting), and Python, 
	with over 250 more packages available via a 

	simple “conda install <package-name>”

	to install a library or module.

	Example from unix command prompt:

		conda install pandas

	(will update nympy)
	

You’ll need:
	python (scripting language)
	sci.py (numerical routines),
	num.py (matrices, linear algebra), and 
	matplotlib (enables generating plots of data)

Installing Python (2.7). 
 1) SciPy.org site, and launched to installation notes:
	http://scipy.org/install.html
 2) Anaconda instruction site including lots of libraries with python.
	https://docs.continuum.io/anaconda/install
	(navigate to user manual for a more detail listing of 'guides').

Mac Installation:
1) Instruction that the instructor used:
	a) installed anaconda (got required packages)
		https://www.continuum.io/downloads (2.7)
	    includes, sci.py, num.py, and mathlplotlib