Difference between revisions of "Python: Tipe Variable"

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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 −
 
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 −
  
Live Demo
 
#!/usr/bin/python
 
  
counter = 100          # An integer assignment
+
#!/usr/bin/python
miles  = 1000.0      # A floating point
+
name    = "John"      # A string
+
counter = 100          # An integer assignment
 +
miles  = 1000.0      # A floating point
 +
name    = "John"      # A string
 +
 +
print counter
 +
print miles
 +
print name
  
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 −
 
Here, 100, 1000.0 and "John" are the values assigned to counter, miles, and name variables, respectively. This produces the following result −
  
Line 23: Line 24:
 
1000.0
 
1000.0
 
John
 
John
Multiple Assignment
+
 
 +
==Multiple Assignment==
 +
 
 
Python allows you to assign a single value to several variables simultaneously. For example −
 
Python allows you to assign a single value to several variables simultaneously. For example −
  
a = b = c = 1
+
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 −
 
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"
+
a,b,c = 1,2,"john"
 +
 
 
Here, two integer objects with values 1 and 2 are assigned to variables a and b respectively, and one string object with the value "john" is assigned to the variable c.
 
Here, two integer objects with values 1 and 2 are assigned to variables a and b respectively, and one string object with the value "john" is assigned to the variable c.
  
Standard Data Types
+
==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.
 
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 −
 
Python has five standard data types −
  
Numbers
+
Numbers
String
+
String
List
+
List
Tuple
+
Tuple
Dictionary
+
Dictionary
Python Numbers
+
 
 +
==Python Numbers==
 +
 
 
Number data types store numeric values. Number objects are created when you assign a value to them. For example −
 
Number data types store numeric values. Number objects are created when you assign a value to them. For example −
  
var1 = 1
+
var1 = 1
var2 = 10
+
var2 = 10
 +
 
 
You can also delete the reference to a number object by using the del statement. The syntax of the del statement is −
 
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]]]]
+
del var1[,var2[,var3[....,varN]]]]
 +
 
 
You can delete a single object or multiple objects by using the del statement. For example −
 
You can delete a single object or multiple objects by using the del statement. For example −
  
del var
+
del var
del var_a, var_b
+
del var_a, var_b
 +
 
 
Python supports four different numerical types −
 
Python supports four different numerical types −
  
int (signed integers)
+
int (signed integers)
long (long integers, they can also be represented in octal and hexadecimal)
+
long (long integers, they can also be represented in octal and hexadecimal)
float (floating point real values)
+
float (floating point real values)
complex (complex numbers)
+
complex (complex numbers)
Examples
+
 
 +
==Examples==
 +
 
 
Here are some examples of numbers −
 
Here are some examples of numbers −
  
int long float complex
+
int long float complex
10 51924361L 0.0 3.14j
+
10 51924361L 0.0 3.14j
100 -0x19323L 15.20 45.j
+
100 -0x19323L 15.20 45.j
-786 0122L -21.9 9.322e-36j
+
-786 0122L -21.9 9.322e-36j
080 0xDEFABCECBDAECBFBAEl 32.3+e18 .876j
+
080 0xDEFABCECBDAECBFBAEl 32.3+e18 .876j
-0490 535633629843L -90. -.6545+0J
+
-0490 535633629843L -90. -.6545+0J
-0x260 -052318172735L -32.54e100 3e+26J
+
-0x260 -052318172735L -32.54e100 3e+26J
0x69 -4721885298529L 70.2-E12 4.53e-7j
+
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.
 
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 floating-point numbers denoted by x + yj, where x and y are the real numbers and j is the imaginary unit.
 
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
+
==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.
 
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 −
 
The plus (+) sign is the string concatenation operator and the asterisk (*) is the repetition operator. For example −
  
Live Demo
+
#!/usr/bin/python  
#!/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 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 −
  
str = 'Hello World!'
+
Hello World!
 +
H
 +
llo
 +
llo World!
 +
Hello World!Hello World!
 +
Hello World!TEST
  
print str          # Prints complete string
+
==Python Lists==
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 −
 
  
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.
 
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 −
 
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/python
+
#!/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 till 3rd
 +
print list[2:]      # Prints elements starting from 3rd element
 +
print tinylist * 2  # Prints list two times
 +
print list + tinylist # Prints concatenated lists
  
list = [ 'abcd', 786 , 2.23, 'john', 70.2 ]
+
This produce the following result −
tinylist = [123, 'john']
 
  
print list          # Prints complete list
+
['abcd', 786, 2.23, 'john', 70.2]
print list[0]       # Prints first element of the list
+
abcd
print list[1:3]     # Prints elements starting from 2nd till 3rd
+
[786, 2.23]
print list[2:]     # Prints elements starting from 3rd element
+
[2.23, 'john', 70.2]
print tinylist * 2 # Prints list two times
+
[123, 'john', 123, 'john']
print list + tinylist # Prints concatenated lists
+
['abcd', 786, 2.23, 'john', 70.2, 123, 'john']
This produce the following result −
+
 
 +
==Python Tuples==
  
['abcd', 786, 2.23, 'john', 70.2]
 
abcd
 
[786, 2.23]
 
[2.23, 'john', 70.2]
 
[123, 'john', 123, 'john']
 
['abcd', 786, 2.23, 'john', 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.
 
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 −
 
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 −
  
Live Demo
+
#!/usr/bin/python
#!/usr/bin/python
+
 +
tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
 +
tinytuple = (123, 'john')
 +
 +
print tuple              # Prints the complete tuple
 +
print tuple[0]            # Prints first element of the tuple
 +
print tuple[1:3]          # Prints elements of the tuple starting from 2nd till 3rd
 +
print tuple[2:]          # Prints elements of the tuple starting from 3rd element
 +
print tinytuple * 2      # Prints the contents of the tuple twice
 +
print tuple + tinytuple  # Prints concatenated tuples
  
tuple = ( 'abcd', 786 , 2.23, 'john', 70.2  )
+
This produce the following result −
tinytuple = (123, 'john')
 
  
print tuple              # Prints the complete tuple
+
('abcd', 786, 2.23, 'john', 70.2)
print tuple[0]            # Prints first element of the tuple
+
abcd
print tuple[1:3]          # Prints elements of the tuple starting from 2nd till 3rd
+
(786, 2.23)
print tuple[2:]          # Prints elements of the tuple starting from 3rd element
+
(2.23, 'john', 70.2)
print tinytuple * 2       # Prints the contents of the tuple twice
+
(123, 'john', 123, 'john')
print tuple + tinytuple  # Prints concatenated tuples
+
('abcd', 786, 2.23, 'john', 70.2, 123, 'john')
This produce the following result −
 
  
('abcd', 786, 2.23, 'john', 70.2)
 
abcd
 
(786, 2.23)
 
(2.23, 'john', 70.2)
 
(123, 'john', 123, 'john')
 
('abcd', 786, 2.23, 'john', 70.2, 123, 'john')
 
 
The following code is invalid with tuple, because we attempted to update a tuple, which is not allowed. Similar case is possible with lists −
 
The following code is invalid with tuple, because we attempted to update a tuple, which is not allowed. Similar case is possible with lists −
  
#!/usr/bin/python
+
#!/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==
  
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 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.
 
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 −
 
Dictionaries are enclosed by curly braces ({ }) and values can be assigned and accessed using square braces ([]). For example −
  
Live Demo
+
#!/usr/bin/python
#!/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
  
dict = {}
+
This produce the following result −
dict['one'] = "This is one"
 
dict[2]    = "This is two"
 
  
tinydict = {'name': 'john','code':6734, 'dept': 'sales'}
+
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.
  
print dict['one']      # Prints value for 'one' key
+
==Data Type Conversion==
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 produce the 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 need to perform conversions between the built-in types. To convert between types, you simply use the type name as a function.
 
Sometimes, you may need to perform conversions between the built-in types. To convert between types, you simply use the type name as a function.
  

Revision as of 06:03, 26 January 2021

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 −


#!/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. This produces the following result −

100 1000.0 John

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,"john"

Here, two integer objects with values 1 and 2 are assigned to 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 −

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 four different numerical types −

int (signed integers)
long (long integers, they 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 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 −

#!/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 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 −

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. For 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 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 produce the following result −

['abcd', 786, 2.23, 'john', 70.2]
abcd
[786, 2.23]
[2.23, 'john', 70.2]
[123, 'john', 123, 'john']
['abcd', 786, 2.23, 'john', 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 −

#!/usr/bin/python

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

print tuple               # Prints the complete tuple
print tuple[0]            # Prints first element of the tuple
print tuple[1:3]          # Prints elements of the tuple starting from 2nd till 3rd 
print tuple[2:]           # Prints elements of the tuple starting from 3rd element
print tinytuple * 2       # Prints the contents of the tuple twice
print tuple + tinytuple   # Prints concatenated tuples

This produce the following result −

('abcd', 786, 2.23, 'john', 70.2)
abcd
(786, 2.23)
(2.23, 'john', 70.2)
(123, 'john', 123, 'john')
('abcd', 786, 2.23, 'john', 70.2, 123, 'john')

The following code 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 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/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 produce the 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 need 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.

Sr.No. Function & Description 1 int(x [,base])

Converts x to an integer. base specifies the base if x is a string.

2 long(x [,base] )

Converts x to a long integer. base specifies the base if x is a string.

3 float(x)

Converts x to a floating-point number.

4 complex(real [,imag])

Creates a complex number.

5 str(x)

Converts object x to a string representation.

6 repr(x)

Converts object x to an expression string.

7 eval(str)

Evaluates a string and returns an object.

8 tuple(s)

Converts s to a tuple.

9 list(s)

Converts s to a list.

10 set(s)

Converts s to a set.

11 dict(d)

Creates a dictionary. d must be a sequence of (key,value) tuples.

12 frozenset(s)

Converts s to a frozen set.

13 chr(x)

Converts an integer to a character.

14 unichr(x)

Converts an integer to a Unicode character.

15 ord(x)

Converts a single character to its integer value.

16 hex(x)

Converts an integer to a hexadecimal string.

17 oct(x)

Converts an integer to an octal string.