Data Structures in Python: A Comprehensive Guide with Examples

Data Structures in Python

1. Lists
 A list is an ordered, mutable collection of items. Lists can contain elements
of different data types.

Creating Lists:

# Creating a list
my_list = [1, 2, 3, 4, 5]
mixed_list = [1, "Hello", 3.14, True]

Accessing Elements:

 Use indexing to access elements (starting from 0).

print(my_list[0]) # Output: 1

Common List Operations:

# Adding elements
my_list.append(6) # Adds 6 to the end
my_list.insert(2, "Hi") # Inserts "Hi" at index 2

# Removing elements
my_list.remove(3) # Removes the first occurrence of 3
my_list.pop() # Removes the last element

# Slicing
sub_list = my_list[1:4] # Gets elements from index 1 to 3

# Sorting
my_list.sort() # Sorts the list in ascending order
my_list.reverse() # Reverses the order of elements

, 2. Tuples
 A tuple is an ordered, immutable collection of items. Once created, the
elements cannot be changed.

Creating Tuples:

my_tuple = (1, 2, 3)
single_element_tuple = (5,) # Comma is required for single-element tuples

Accessing Elements:

print(my_tuple[1]) # Output: 2

Use Cases:

 Tuples are used when you want to ensure data cannot be changed, such as
storing coordinates.



3. Dictionaries
 A dictionary is an unordered collection of key-value pairs. Keys must be
unique and immutable (e.g., strings, numbers, tuples).

Creating Dictionaries:

my_dict = {
"name": "Alice",
"age": 25,
"city": "New York"
}

Accessing Elements:

print(my_dict["name"]) # Output: Alice