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# Python - Variable Types

Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory.

Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different data types to variables, you can store integers, decimals, or characters in these variables.

# Assigning Values to Variables:

Python variables do not have to be explicitly declared to reserve memory space. The declaration happens automatically when you assign a value to a variable. The equal sign (=) is used to assign values to variables.

The operand to the left of the = operator is the name of the variable, and the operand to the right of the = operator is the value stored in the variable. For example:

    #!/usr/bin/python

    counter = 100          # An integer assignment
    miles   = 1000.0       # A floating point
    name    = "John"       # A string

    print counter
    print miles
    print name

Here 100, 1000.0 and "John" are the values assigned to counter, miles and name variables, respectively. While running this program, this will produce following result:

    100
    1000.0
    John

# Multiple Assignment:

You can also assign a single value to several variables simultaneously. For example:

    a = b = c = 1

Here, an integer object is created with the value 1, and all three variables are assigned to the same memory location. You can also assign multiple objects to multiple variables. For example:

    a, b, c = 1, 2, "john"

Here two integer objects with values 1 and 2 are assigned to variables a and b, and one string object with the value "john" is assigned to the variable c.

# Standard Data Types:

The data stored in memory can be of many types. For example, a person.s age is stored as a numeric value and his or her address is stored as alphanumeric characters.

Python has some standard types that are used to define the operations possible on them and the storage method for each of them.

Python has five standard data types:

- Numbers

- String

- List

- Tuple

- Dictionary

# Python Numbers:

Number data types store numeric values. They are immutable data types, which means that changing the value of a number data type results in a newly allocated object.

Number objects are created when you assign a value to them. For example:

    var1 = 1
    var2 = 10

You can also delete the reference to a number object by using the del statement. The syntax of the del statement is:

    del var1[,var2[,var3[....,varN]]]]

You can delete a single object or multiple objects by using the del statement. For example:

    del var
    del var_a, var_b

Python supports four different numerical types:

- int (signed integers)

- long (long integers [can also be represented in octal and hexadecimal])

- float (floating point real values)

- complex (complex numbers)

## Examples:

Here are some examples of numbers:

int | long | float | complex
--- | --- | --- | ---
10 | 51924361L | 0.0 | 3.14j
100 | -0x19323L | 15.20 | 45.j
-786 | 0122L | -21.9 | 9.322e-36j
080 | 0xDEFABCECBDAECBFBAEl | 32.3+e18 | .876j
-0490 | 535633629843L | -90. | -.6545+0J
-0x260 | -052318172735L | -32.54e100 | 3e+26J
0x69 | -4721885298529L | 70.2-E12 | 4.53e-7j

- Python allows you to use a lowercase L with long, but it is recommended that you use only an uppercase L to avoid confusion with the number 1. Python displays long integers with an uppercase L.

- A complex number consists of an ordered pair of real floatingpoint numbers denoted by a + bj, where a is the real part and b is the imaginary part of the complex number.

# Python Strings:

Strings in Python are identified as a contiguous set of characters in between quotation marks.

Python allows for either pairs of single or double quotes. Subsets of strings can be taken using the slice operator ( [ ] and [ : ] ) with indexes starting at 0 in the beginning of the string and working their way from -1 at the end.

The plus ( + ) sign is the string concatenation operator, and the asterisk ( * ) is the repetition operator.

## Example:

    #!/usr/bin/python

    str = 'Hello World!'

    print str          # Prints complete string
    print str[0]       # Prints first character of the string
    print str[2:5]     # Prints characters starting from 3rd to 6th
    print str[2:]      # Prints string starting from 3rd character
    print str * 2      # Prints string two times
    print str + "TEST" # Prints concatenated string

This will produce following result:

    Hello World!
    H
    llo
    llo World!
    Hello World!Hello World!
    Hello World!TEST

# Python Lists:

Lists are the most versatile of Python's compound data types. A list contains items separated by commas and enclosed within square brackets ([]).

To some extent, lists are similar to arrays in C. One difference between them is that all the items belonging to a list can be of different data type.

The values stored in a list can be accessed using the slice operator ( [ ] and [ : ] ) with indexes starting at 0 in the beginning of the list and working their way to end-1.

The plus ( + ) sign is the list concatenation operator, and the asterisk ( * ) is the repetition operator.

## Example:

    #!/usr/bin/python

    list = [ 'abcd', 786 , 2.23, 'john', 70.2 ]
    tinylist = [123, 'john']

    print list          # Prints complete list
    print list[0]       # Prints first element of the list
    print list[1:3]     # Prints elements starting from 2nd to 4th
    print list[2:]      # Prints elements starting from 3rd element
    print tinylist * 2  # Prints list two times
    print list + tinylist # Prints concatenated lists

This will produce following result:

    ['abcd', 786, 2.23, 'john', 70.200000000000003]
    abcd
    [786, 2.23]
    [2.23, 'john', 70.200000000000003]
    [123, 'john', 123, 'john']
    ['abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john']

# Python Tuples:

A tuple is another sequence data type that is similar to the list. A tuple consists of a number of values separated by commas. Unlike lists, however, tuples are enclosed within parentheses.

The main differences between lists and tuples are: Lists are enclosed in brackets ( [ ] ), and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) and cannot be updated. Tuples can be thought of as read-only lists.

## Example:

    #!/usr/bin/python

    tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
    tinytuple = (123, 'john')

    print tuple           # Prints complete list
    print tuple[0]        # Prints first element of the list
    print tuple[1:3]      # Prints elements starting from 2nd to 4th
    print tuple[2:]       # Prints elements starting from 3rd element
    print tinytuple * 2   # Prints list two times
    print tuple + tinytuple # Prints concatenated lists

This will produce following result:

    ('abcd', 786, 2.23, 'john', 70.200000000000003)
    abcd
    (786, 2.23)
    (2.23, 'john', 70.200000000000003)
    (123, 'john', 123, 'john')
    ('abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john')

Following is invalid with tuple, because we attempted to update a tuple,which is not allowed. Similar case is possible with lists:

    #!/usr/bin/python

    tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
    list = [ 'abcd', 786 , 2.23, 'john', 70.2  ]
    tuple[2] = 1000    # Invalid syntax with tuple
    list[2] = 1000     # Valid syntax with list

# Python Dictionary:

Python 's dictionaries are hash table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs.

Keys can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object.

Dictionaries are enclosed by curly braces ( { } ) and values can be assigned and accessed using square braces ( [] ).

## Example:

    #!/usr/bin/python

    dict = {}
    dict['one'] = "This is one"
    dict[2]     = "This is two"

    tinydict = {'name': 'john','code':6734, 'dept': 'sales'}

    print dict['one']       # Prints value for 'one' key
    print dict[2]           # Prints value for 2 key
    print tinydict          # Prints complete dictionary
    print tinydict.keys()   # Prints all the keys
    print tinydict.values() # Prints all the values

This will produce following result:

    This is one
    This is two
    {'dept': 'sales', 'code': 6734, 'name': 'john'}
    ['dept', 'code', 'name']
    ['sales', 6734, 'john']

Dictionaries have no concept of order among elements. It is incorrect to say that the elements are "out of order"; they are simply unordered.

# Data Type Conversion:

Sometimes you may beed to perform conversions between the built-in types. To convert between types you simply use the type name as a function.

There are several built-in functions to perform conversion from one data type to another. These functions return a new object representing the converted value.

Function | Description
--- | ---
int(x [,base]) | Converts x to an integer. base specifies the base if x is a string.
long(x [,base] ) | Converts x to a long integer. base specifies the base if x is a string.
float(x) | Converts x to a floating-point number.
complex(real [,imag]) | Creates a complex number.
str(x) | Converts object x to a string representation.
repr(x) | Converts object x to an expression string.
eval(str) | Evaluates a string and returns an object.
tuple(s) | Converts s to a tuple.
list(s) | Converts s to a list.
set(s) | Converts s to a set.
dict(d) | Creates a dictionary. d must be a sequence of (key,value) tuples.
frozenset(s) | Converts s to a frozen set.
chr(x) | Converts an integer to a character.
unichr(x) | Converts an integer to a Unicode character.
ord(x) | Converts a single character to its integer value.
hex(x) | Converts an integer to a hexadecimal string.
oct(x) | Converts an integer to an octal string.

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