Difference between Array and List in Python

In Python, both arrays and lists can be used to store collections of items. However, there are some key differences between the two:

Feature	Array	List
Definition	A collection of items that are of the same data type and ordered.	A collection of items that can be of different data types and ordered.
Homogeneity	Arrays are homogeneous, which means that they can only store elements of the same data type.	Lists are heterogeneous, which means that they can store elements of different data types.
Memory Allocation	Arrays allocate memory in contiguous blocks of memory, which makes them more efficient for numerical operations.	Lists allocate memory in non-contiguous blocks, which makes them less efficient for numerical operations.
Mutable vs. Immutable	Arrays are mutable, which means that their elements can be changed after creation.	Lists are mutable, which means that their elements can be changed after creation.
Size	Arrays have a fixed size that is set at the time of creation.	Lists can grow or shrink dynamically in size as elements are added or removed.
Performance	Arrays have faster performance compared to lists for numerical operations due to their contiguous memory allocation.	Lists have slower performance compared to arrays for numerical operations due to their non-contiguous memory allocation.
Examples	array('i', [1, 2, 3]), array('f', [1.0, 2.0, 3.0])	[1, 'apple', True], ['red', 'green', 'blue']