Python tuple Operations Working

Python tuple Operations Working 

       

Tuples in Python, being immutable, have certain operations available for manipulation. While you cannot modify the elements of a tuple after its creation, you can perform various operations like concatenation, repetition, and slicing to work with tuples. Here are some common operations:

Concatenation:

You can concatenate two or more tuples using the + operator:

tuple1 = (1, 2, 3)

tuple2 = ('a', 'b', 'c')

concatenated_tuple = tuple1 + tuple2

 print(concatenated_tuple) # Output: (1, 2, 3, 'a', 'b', 'c')

 

Repetition:

You can create a new tuple by repeating an existing tuple using the * operator:

original_tuple = (1, 2, 3)

repeated_tuple = original_tuple * 3

 print(repeated_tuple)

 # Output: (1, 2, 3, 1, 2, 3, 1, 2, 3)

 

Slicing:

As mentioned earlier, you can use slicing to extract a subset of elements from a tuple:

my_tuple = (1, 2, 3, 'a', 'b', 'c')

subset_tuple = my_tuple[1:4]

 print(subset_tuple)

  # Output: (2, 3, 'a')

 

Membership Test:

You can use the in operator to check if an element exists in a tuple:

my_tuple = (1, 2, 3, 'a', 'b', 'c')

 print('a' in my_tuple)

  # Output: True

   print('z' in my_tuple)

 # Output: False

 

Length:

You can use the len() function to get the length of a tuple:

my_tuple = (1, 2, 3, 'a', 'b', 'c')

 print(len(my_tuple))

   # Output: 6

 

Tuple Unpacking:

You can use tuple unpacking to assign values to multiple variables:

my_tuple = (1, 2, 3, 'a', 'b', 'c')

a, b, c, *rest = my_tuple

 print(a, b, c, rest)

   # Output: 1 2 3 ['a', 'b', 'c']

 

These operations, along with the inherent properties of tuples, make them versatile for various use cases, such as storing and manipulating collections of data where immutability is desirable.