Hello friends and welcome to the tutorial on Basic Data types and

operators in Python.  

{{{ Show the slide containing title }}}

{{{ Show the slide containing the outline slide }}}

 * Various Datatypes in Python

 * Operators with a little hands-on on how they can be applied to 

   the different data types.

Since this a hands on session, you will require python installed in your 

computer. 

First we will explore python data structures in the domain of numbers.

There are three built-in data structures in python to represent numbers.

{{{ A slide to make a memory note of this }}}

These are:

  * Integers 

  * Complex and 

  * Boolean 

Lets first talk about integers. ::

If we now see ::

in python means that there are various functions that this variable

has to manipulate it different ways. You can explore these by doing,

Lets see the limits of this int.

As you can see even when we put a value of 9 repeated 20 times 

python did not complain. However when you asked python to print

the number again it put a capital L at the end. Now if you check

the type of this variable b, ::

  <type 'long'>

The reason for this is that python recognizes large integer numbers

functions and properties.

Lets now try out the second type in list called float.

Decimal numbers in python are recognized by the term float ::

If you notice the value of output of p isn't exactly equal to p. This

is because computer saves floating point values in a specific

never rely on equality of floating point numbers in a program.

The last data structure in the list is complex number ::

as simple as that so essentialy its just a combination of two floats the 

imaginary part being define by j notation usually used in electrical 

engineering. Complex numbers have a lot of functions specific to them.

Lets check these ::

Lets try some of them ::

c.real gives the real part of the number and c.imag the imaginary.

We can get the absolute value using the function ::

Python also has Boolean as a built-in type.

Try it out just type ::  

note that T in true is capitalized.

You can apply different Boolean operations on t now for example ::

  In[]: f

  In[]: f or t

  In[]: f and t 

The results explanotary in themselves.

The usage of boolean brings us to an interesting question of precendence.

What if you want to apply one operator before another. 

Lets write some piece of code to check this out.

  In[]: a=False 

  In[]: b=True 

  In[]: c=True

To check how precedence changes with parenthesis. We will try two

expressions and their evaluation.

one ::

  In[]: (a and b) or c

This expression gives the value True

where as the expression :: 

  In[]: a and (b or c) 

gives the value False.

Lets now discuss sequence data structures in python. Sequence 

datatypes are those in which elements are kept in a sequential 

{{{ slide to for memory aid }}}

The sequence datatypes in python are ::

 * list

 * string

 * tuple

The list type is a container that holds a number of other 

objects, in the given order.

We create our first list by typing :: 

  In[]: num = [1, 2, 3, 4]

Items enclosed in square brackets separated by comma 

constitutes a list.

We can have a list something like ::

 In[]: var = [1, 1.2, [1,2]]	

print var

Now we will have a look at strings 

type :: 

 In[]: w="hello"

w is now a string variable with the value "hello"

{{{ Memory Aid Slide }}}

Python strings can actually be defined in three different ways ::

  In[]: k='Single quote'

  In[]: l="Double quote contain's single quote"

  In[]: m='''"Contain's both"'''

The last in the list of sequence data types is tuple.

To create a tuple  we use normal brackets '('

unlike '[' for lists.::

  In[]: t = (1, 2, 3, 4, 5, 6, 7, 8)

Because of their sequential property there are certain functions and 

operations we can apply to all of them. 

{{{ Slide for memory aid }}}

The first one is accessing.

They can be accessed using index numbers ::

  In[]: num[2]

  In[]: num[-1]

  In[]: w[1]

  In[]: w[3]

  In[]: w[-2]

  In[]: t[2]

  In[]: t[-3]

Negative indices can be used to access in reverse

Addition gives a new sequence containing both sequences ::

     In[]: num+var

     In[]: p="another string"

     In[]: w+p

     In[]: t2=(3,4,6,7)

     In[]: t+t2

len function gives the length  ::

  In[]: len(num)

  In[]: len(w)

  In[]: len(t)

  In[]: 3 in num

  In[]: 'H' in w

  In[]: 2 in t

  In[]: max(t)

  In[]: min(w)

Get a sorted list and reversed list using sorted and reversed function ::

  In[]: sorted(num)

  In[]: reversed(w)

First Slicing 

Given a list ::

  In[]:j=[1,2,3,4,5,6]

For this we can do ::

  In[]: j[1:4]

The syntax for slicing is sequence variable name square bracket

  In[]: j[:4]

If first element is left blank default is from beginning and if last

element is left blank it means till the end.

 In[]: j[1:]

 In[]: j[:]

This effectively is the whole list.

Lets see by example ::

  In[]: z=[1,2,3,4,5,6,7,8,9,10]

  In[]: z[1:8:2]

  Out[]:[2, 4, 6, 8]

striding because we move through the list with a particular stride or step. The step in this example

being 2. 

  In[]: z[1]=9

  In[]: w[1]='k'

As you can see while the first command executes with out a problem there is an error on the second one.

Now lets try ::

  In[]: t[1]=5

Its the same error. This is because strings and tuples share the property of being immutable.

We cannot change the value at a particular index just by assigning a new value at that position.

In case of strings we have special functions to appy relacement and other things while tuples cannot

be changed at all. 

We have looked at different types but we need to convert one data type into another. Well lets one

by one go through methods by which we can convert one data type to other:

We can convert all the number data types to one another ::

  In[]: i=34

  In[]: d=float(i)

data structure to another.

  In[]: dec=2.34

  In[]: dec_con=int(dec)

  In[]: com=2.3+4.2j

  In[]: float(com)

Similarly we can convert list to tuple and tuple to list ::

  In[]: lst=[3,4,5,6]

  In[]: tup=tuple(lst)

  In[]: tupl=(3,23,4,56)

  In[]: lst=list(tuple)

However string to list and list to string is an interesting problem.

Lets say we have a string ::

  In: somestring="Is there a way to split on these spaces."

  In: somestring.split()

This produces a list with the string split at whitespace.

similarly we can split on some other character.

  In: otherstring="Tim,Amy,Stewy,Boss"

How do we split on comma , simply pass it as argument ::

  In: otherstring.split(',')

join function does the opposite. Joins a list to make a string.::

  In[]:','.join['List','joined','on','commas']

Thus we get a list joined on commas. Similarly we can do spaces.::

  In[]:' '.join['Now','on','spaces']

Note that the list has to be a list of strings to apply join operation.

{{{ Show the "sponsored by FOSSEE" slide }}}

This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India

Hope you have enjoyed and found it useful.

Thank You.

Author              : Amit Sethi

Internal Reviewer 2 : 

External Reviewer