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What is the difference between arrays and lists?

Answer from AI

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Arrays (from the array module) and lists (list) in Python are used to store collections of elements, but they have key differences:

  • Data type:

    • Lists can store elements of different data types.
    • Arrays can only store elements of one data type.
  • Size:

    • List size is dynamic (it changes).
    • Array size is fixed upon creation (although some operations can create a new array).
  • Performance:

    • Arrays are generally more memory-efficient and faster for numerical operations due to homogeneous data type and dense packing.
    • Lists are more flexible but may be less memory-efficient for homogeneous numerical data because they store object references.
  • Operation support:

    • Lists have a wider range of methods for working with elements (adding, removing, inserting, etc.).
    • Arrays have a more limited set of methods but support some operations specific to homogeneous data (e.g., conversion to bytes).

Example usage:

# List example
my_list = [1, "hello", 3.14, True]
# Array example (data type 'i' - signed integer)
import array
my_array = array.array('i', [1, 2, 3, 4, 5])