NumPy:
=====
NumPy ==> Numerical Python

why?
====
	for performing the complex math operations.
	open source and free software
		we can use to perform array based computing.

array ==> collection of similar data items.
	1-d array ==> one dimensional array
		arranging of elements in either row or in column.
	2-d array ==> two dimensional array
		arranging of elements in rows and columns both. (matrix)
	n-d array ==> n-dimensional array (Image processing)

History:
========
	==> Developed by "Travis Oliphant"
	==> in 2005
	==> using C and Python.
		C ==> fastest execution
		Python ==> easy development
	==> Travis gone through a module/library ==> Numeric Library (Jim Hungunian)


Python ==> Interpreter dependent language
	C, C++, Perl and Shell script

==> NumPy ==> 3rd party module/package/library
we required to import this module 
Syntax:
	import numpy
==> we must required to install the numpy extensively before the importing.
==> to install any 3rd party modules:
	in python only there is one package manager ==> pip
Syntax: (for installation)
	pip install module-name
ex: pip install numpy

Syntax (for uninstallation)
	pip unistall module-name
ex: pip uninstall numpy

do we have pip?
===============
yes.

# WAP IN PYTHON TO PRINT THE VERSION OF NUMPY.

import numpy
print(numpy.__version__)

============================
==> we can use the numpy with alias name.
Syntax:
	import numpy as alias-name

# WAP IN PYTHON TO GET VERSION OF NUMPY.
# numpy with alias name

import numpy as rk
print(rk.__version__)