* Data Types
*** Outline
***** Introduction
******* What are we going to do?
******* How are we going to do?
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*** Script
    Welcome friends. 
    
    In this tutorial we shall look at data types available in Python and 
    how to perform simple Input and Output operations. 
    for 'Numbers' we have: int, float, complex datatypes
    for Text content we have strings.
    For conditional statements, 'Booleans'.
    
    Lets get started by opening IPython interpreter. 
    Lets start with  'numbers'
    All integers irrespective of how big they are, are of 'int'
    data type
    Now we will create a variable, say
    x = 13
    print x

    To check the data type of any variable Python provides 'type' function
    type(x)
    
    y = 999999999999
    print y
    
    Floating point numbers comes under 'float'
    p = 3.141592
    type(p)

    Python by default provides support for complex numbers. 
    c = 3+4j 
    c is a complex number. 'j' is used to specify the imaginary part.
    type(c)
    Python also provides basic functions for their manipulations like
    abs(c) will return the absolute value of c(sqrt(a^2 + b^2))
    c.imag returns imaginary part and c.real gives the real part. 

    Next we will look at Boolean datatype:
    Its a primitive datatype having one of two values: True or False.
    t = True
    print t

    Python is case sensitive language, so True with 'T' is boolean type but
    true with 't' would be a variable. 
    
    f = not True
    
    we can do binary operation like 'or' and 'not' with these variables
    f or t
    f and t
    
    in case of multiple binary operations to make sure of precedence use 
    'brackets ()'
    a = False
    b = True
    c = True
    (a and b) or c    
    True
    first a and b is evaluated and then the 'or' statement
    a and (b or c)
    False

    we come to the end of this tutorial on introduction of Data types in
    Python. In this tutorial we have learnt what are supported data types, 
    supported operations and performing simple IO operations in Python.

*** Notes