Variables Declaration & Standard Data Types - Python Programming Language

Variables Declaration:

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 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:

intnum = 100          # An integer assignment
floatnum   = 1000.0       # A floating point
strline    = "Shri Ram"       # A string

print (intnum)
print (floatnum)
print (strline)

Here, 100, 1000.0 and "Shri Ram" are the values assigned to counter, miles, and name variables, respectively.

Shri Ram

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 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, "Shri Ram"

Here, two integer objects with values 1 and 2 are assigned to variables a and b respectively, and one string object with the value "Shri Ram" 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 −

  • Numbers
  • String
  • List
  • Tuple
  • Dictionary

Python Numbers:

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 (signed integers)

  2. float (floating point real values)

  3. complex (complex numbers)

All integers in Python3 are represented as long integers. Hence there is no separate number type as long.

Here are some examples of numbers −

 int      	float       	complex
 10	       1.3	           3.14j
 100	      1.20	          4.j
-78          -1.9	         9.32e-36j
 080	      3.3+e8	      .876j
-049         -9.             -.55+0J
-0x26        -2.5e10	      3e+26J
 0x69         0.2-E1	      4.3e-7j

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

Python Strings:

Strings in Python are identified as a contiguous set of characters represented in the 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.
For example:

str = 'Hello World!'
print (str)          # Prints complete string
print (str[0])       # Prints first character of the string
print (str[1:5])     # Prints characters starting from 2nd to 5th
print (str[1:])      # Prints string starting from 2nd character
print (str * 2)      # Prints string two times
print (str + "TEST") # Prints concatenated string


Hello World!
ello 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.
For example:

list = [ 'Ayush', 75 , 2.23, 'Ashish', 70.2 ]
tinylist = [123, 'Ashish']

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


['Ayush', 75, 2.23, 'Ashish', 70.2]
[75, 2.23]
[2.23, 'Ashish', 70.2]
[123, 'Ashish', 123, 'Ashish']
['Ayush', 75, 2.23, 'Ashish', 70.2, 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.
For example:

tuple = ( 'Ayush', 75 , 2.23, 'Ashish', 70.2  )
tinytuple = (123, 'Ashish')

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


('Ayush', 75, 2.23, 'Ashish', 70.2)
(75, 2.23)
(2.23, '', 70.2)
(123, 'Ashish', 123, 'Ashish')
('Ayush', 786, 2.23, 'Ashish', 70.2, 123, 'Ashish')

The following code is invalid with tuple, because we attempted to update a tuple, which is not allowed. Similar case is possible with lists −

tuple = ( 'Ayush', 75 , 2.23, 'Ashish', 70.2  )
list = [ 'Ayush', 75 , 2.23, 'Ashish', 70.2  ]
tuple[2] = 1000    # Invalid syntax with tuple
list[2] = 1000     # Valid syntax with list

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:

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

tinydict = {'name': 'Ashish','Rollno':6734, 'dept': 'marks'}

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 is one
This is two
{'Rollno': 6734, 'name': 'Ashish', 'dept': 'marks'}
dict_keys(['Rollno', 'name', 'dept'])
dict_values([6734, 'Ashish', 'marks'])

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


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