NumPy arrays have several advantages over Python lists. These benefits are focused on providing high-performance manipulation of sequences of homogenous data items. Several of these benefits are as follows:

Contiguous allocation in memory provides benefits in performance by ensuring that all elements of an array are directly accessible at a fixed offset from the beginning of the array. This also is a computer organization technique that facilities providing vectorized operations across arrays.

Vectorized operation is a technique of applying an operation across all or a subset of elements without explicit coding of loops. Vectorized operations are often orders of magnitude more efficient in execution as compared to loops implemented in a higher-level language. They are also excellent for reducing the amount of code that needs to be written, which also helps in minimizing...