In Python, list, tuple, and range are three types of data structures used to store collections of items. Here are the main differences between them

In Python, list, tuple, and range are three types of data structures used to store collections of items. Here are the main differences between them:

1. List

• Type: list

• Mutable (can be changed after creation).

• Can contain items of any data type (mixed types allowed).

• Can be modified: items can be added, removed, or changed.

my_list = [1, 2, 3]
my_list.append(4)       # [1, 2, 3, 4]
my_list[0] = 10         # [10, 2, 3, 4]

2. Tuple

• Type: tuple

• Immutable (cannot be changed after creation).

• Used for data that should not be modified.

• Faster and more memory-efficient than lists.

my_tuple = (1, 2, 3)
# my_tuple[0] = 10  #  Error: tuple is immutable

3. Range

• Type: range

• A lazy object (doesn't generate all values immediately but computes them when needed).

• Commonly used in loops (for loop).

• Efficient for generating sequences of numbers.

my_range = range(0, 5)      # 0 to 4
print(list(my_range))       # [0, 1, 2, 3, 4]

Quick Comparison Table

Feature	List	Tuple	Range
Mutable	Yes	No	No
Indexable	Yes	Yes	Yes
Can be changed	Yes	No	No
Iterable	Yes	Yes	Yes
Memory-efficient	Less so	Yes	Very efficient
Data types	Mixed	Mixed	Numbers only
Example	[1,2,3]	(1,2,3)	range(0,3)

When to Use:

• Use a list if you need to modify the data.

• Use a tuple if the data should remain constant.

• Use range when generating number sequences, especially in loops.