How Much Types Of Variables In Python ?

Python 3  : Variable Types

 

 

Variables are nothing but reserved memory locations to store values. It means that when you create a variable, you reserve some space in the 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 the variables, you can store integers, decimals or characters in these variables 

Assigning Values to Variables  : 

Python variables do not need explicit declaration 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/python3 

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. This produces the following result −  

 

Multiple Assignment : 

Python allows you to 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 the 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 the variables a and b respectively, 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 various standard data 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- 

1. Number
2. String 
3. List 
4. Tuple
5. Dictionary

 

#1 Python Numbers(Number) :

Number data types store numeric values. 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 three different numerical types −

1. Int
2. Float 
3. Complex 

Examples 

Here are some examples of numbers

INT	FLOAT	COMPLEX
10	0.0	3.14j
100	15.20	45j
-786	-21.9	9.322e-36j
080	32.3+e18	.876j
-0490	-90.	-.6545+0J
-0x260	-32.54e100	3e+26J
0x69	70.2-E12	4.53e-7j

               

A complex number consists of an ordered pair of real floating-point numbers denoted by x + yj, where x and y are real numbers and j is the imaginary unit. 

 

#2 Python Strings : 

Strings in Python are identified as a contiguous set of characters represented in the quotation marks. Python allows either pair 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 to the end. 

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

For example-  

#!/usr/bin/python3
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 5th
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 the following result- 

 

#3 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 of the differences 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. 

For example : 

#!/usr/bin/python3
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 till 3rd 
print (list[2:])      # Prints elements starting from 3rd element
print (tinylist * 2)  # Prints list two times
print (list + tinylist) # Prints concatenated lists 

This produces the following result : 

 

#4 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 parenthesis. 

The main difference between lists and tuples is- 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. 

For example :

tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
tinytuple = (123, 'john')
print (tuple)           # Prints complete tuple
print (tuple[0])        # Prints first element of the tuple
print (tuple[1:3])      # Prints elements starting from 2nd till 3rd 
print (tuple[2:])       # Prints elements starting from 3rd element
print (tinytuple * 2)   # Prints tuple two times
print (tuple + tinytuple) # Prints concatenated tuple 

This produces the following result-  

 

 

 

#5 Python Dictionary :

Python's dictionaries are kind of hash-table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs. A dictionary key 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 ([]). 

For example-

#!/usr/bin/python3
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 produces the following result-