Immutable Sequence Types in Python

September 13, 2023

Immutable-sequence-types-in-python

Immutable Sequence Types

Mutable and immutable objects are treated differently in python. Immutable objects are faster to access and are costlier to change because it needs the creation of a copy.
Whereas mutable objects are easy to change.
In other words, Immutable objects cannot be changed after their creation. Example of immutable sequence in python is Tuple().

Immutable Sequence Types in Python

In Python the data structure or we can say sequences are defined into two categories –

  • Mutable Sequences
  • Immutable Sequences

Mutable sequences can be changed after their creation while immutable sequences can’t be updated however there are some tricks to update the immutable sequences. So, due to above characteristics it can be referred as immutable sequences are read-only and mutable sequences are both read and write compatible.

There are some immutable sequence types in python:

  • Tuple
  • String

Tuple

>>> companies = (['tata','wipro'],'accenture')
>>> companies
(['tata', 'wipro'], 'accenture')
>>> type(companies)
<class 'tuple'>
>>> companies[0][1]='tcs'
>>> companies
(['tcs', 'wipro'], 'accenture')
>>> companies[1]='cognizant'
Traceback (most recent call last):
  File "<pyshell#10>", line 1, in <module>
    companies[1]='cognizant'
TypeError: 'tuple' object does not support item assignment

String

>>> String = "prepinsta"
>>> String[1] ='p'
>>> print(String)
Traceback (most recent call last):
  File "/home/main.py", line 2, in 
    String[1] ='p'
TypeError: 'str' object does not support item assignment

Bitwise Operators in Python

Mutable Sequence Types in Python

Logical Operators in Python

Identity Operators in Python

Comparison Operators in Python

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