| Criteria | Python Arrays | Python Lists |
| Definition | Arrays are data structures that hold fixed-size elements of the same type. | Lists are versatile data structures that can hold elements of different types and sizes. |
| Mutable | Arrays are mutable, meaning their elements can be modified once created. | Lists are mutable, allowing for modification of elements after creation. |
| Size | Array size is fixed upon creation and cannot be changed. | Lists can dynamically resize to accommodate new elements or remove existing elements. |
| Homogeneous | Arrays store elements of the same data type, ensuring homogeneity. | Lists can store elements of different data types, allowing heterogeneity. |
| Access | Elements in an array can be accessed using indexing. | Elements in a list can be accessed using indexing. |
| Operations | Arrays support mathematical and logical operations on their elements efficiently. | Lists provide a wide range of built-in methods and operations for manipulation and data handling. |
| Memory | Arrays consume less memory compared to lists. | Lists consume more memory due to their flexibility and dynamic resizing. |
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