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Certainly! In Python, array sequences are data structures that store a collection of elements in a specific order. The three main built-in array sequence types in Python are lists, tuples, and strings. Let's explore each of them:
-
Lists (square brackets
[]):- Lists are mutable, meaning you can modify, add, or remove elements after creation.
- Elements in a list can be of different data types (e.g., integers, strings, objects).
- Lists are defined using square brackets
[]and elements are separated by commas. - Example:
my_list = [1, 2, 3, "apple", True]
-
Tuples (parentheses
()):- Tuples are immutable, meaning you cannot modify them once they are created.
- Elements in a tuple can be of different data types, similar to lists.
- Tuples are defined using parentheses
()and elements are separated by commas. - Example:
my_tuple = (1, 2, 3, "apple", True)
-
Strings (double quotes
""):- Strings are immutable sequences of characters.
- They are defined using either single quotes
''or double quotes"". - Example:
my_string = "Hello, World!"
Indexing: All three array sequence types support indexing, which allows you to access individual elements within the sequence using their position or index. In Python, indexing starts from 0.
Example:
my_list = [1, 2, 3, 4, 5]
print(my_list[0]) # Output: 1
print(my_list[2]) # Output: 3
my_tuple = (1, 2, 3, 4, 5)
print(my_tuple[1]) # Output: 2
print(my_tuple[4]) # Output: 5
my_string = "Hello"
print(my_string[0]) # Output: 'H'
print(my_string[4]) # Output: 'o'
You can also use negative indexing to access elements from the end of the sequence. For example, -1 refers to the last element, -2 refers to the second-to-last element, and so on.
Example:
my_list = [1, 2, 3, 4, 5]
print(my_list[-1]) # Output: 5
print(my_list[-3]) # Output: 3
In addition to indexing, array sequences in Python support various operations like slicing (extracting a portion of the sequence), concatenation (joining sequences together), and more.
I hope this helps you understand array sequences, lists, tuples, strings, and indexing in Python better! Let me know if you have any further questions.