• List:
  • Built-in Python data structure.
  • Can contain elements of different data types.
  • Slower for numerical operations.
• NumPy Array:
  • Part of the NumPy library, designed for numerical computations.
  • Elements must be of the same data type.
  • Optimized for speed and memory efficiency.

Example:

import numpy as np

# List
my_list = [1, 2, 3, 4]

# NumPy array
my_array = np.array(my_list)
print(my_array)  # Output: [1 2 3 4]