Tuples in Python Object Oriented Programming.pptx

Tuples in Python Object Oriented Programming.pptx

• 1.
  Tuples in Python By, M.Zuhair Arfeen
• 2.
  Introduction to Tuples What is a Tuple? A tuple is an ordered collection of elements in Python. Unlike lists, tuples are immutable—once created, the elements cannot be changed. Syntax: tuple = (element1, element2, ...)
• 3.
  Why Use Tuples?: Advantages of Tuples:  Immutability:Prevents accidental modification of data.  Memory Efficiency:Tuples use less memory compared to lists.  Faster than Lists:Since they are immutable, operations on tuples are generally faster.  Use Case: Best for read-only data or grouping related items that shouldn’t change.
• 4.
  Creating Tuples  Creatingan Empty Tuple:  empty_tuple = ()  Creating a Tuple with Elements:  tuple_with_elements = (1, "Python", 3.14)
• 5.
  Accessing Tuple Elements Indexing:  Like lists, tuples are indexed. First element has an index of 0.  my_tuple = ("apple", "banana", "cherry")  print(my_tuple[0]) # Output: "apple"
• 6.
  … continued  NegativeIndexing: Use negative indices to access elements from the end. print(my_tuple[-1]) # Output: "cherry“  Slicing: You can slice tuples like lists to get a range of elements print(my_tuple[0:2]) # Output: ("apple", "banana")
• 7.
  Tuple Operations  Concatenation:Tuples can be concatenated using the ‘+’ operator. tuple1 = (1, 2, 3) tuple2 = (4, 5) result = tuple1 + tuple2 # Output: (1, 2, 3, 4, 5)  Repetition: You can repeat tuples using the * operator. tuple1 = (1, 2, 3) result = tuple1 * 2 # Output: (1, 2, 3, 1, 2, 3)
• 8.
  Tuple Functions  CommonTuple Functions:  len():  Returns the number of elements in the tuple  len(my_tuple) # Output: 3  max() and min()  max((3, 5, 2)) # Output: 5
• 9.
  … continued sum(): Sumsall elements in a numeric tuple. sum((1, 2, 3)) # Output: 6 tuple(): Converts a list or other iterable into a tuple. tuple([1, 2, 3]) # Output: (1, 2, 3)