In [14]: arr = np.random.randint(1,100,300)

In [15]: arr
Out[15]:
array([72, 40, 52, 16, 43, 98, 70, 78, 51, 26, 13, 54, 54, 97, 57, 21, 62, 37, 19, 98, 30, 76, 63, 52, 82, 15, 68, 42, 87, 28, 74, 16, 11, 82,  9
,  6, 45, 10, 44, 55, 17, 36, 32, 66, 35,  7, 58, 72,
       24, 24, 99,  7, 10, 46, 51, 44, 98, 32, 41, 19, 34, 20, 41, 25, 67, 62, 89, 44, 37,  9, 72, 81,  3, 99, 80, 97, 46, 53,  9,  5, 81, 81, 93
, 91, 44, 36, 57, 51, 59, 75, 70, 36, 16, 93, 15, 17,
       68, 58, 40, 64, 76, 82, 60, 24, 84, 31, 70, 82, 14, 43, 97, 88, 98, 27, 51, 74, 28, 37, 45, 28, 13, 70, 88, 79, 44, 75, 23, 19, 99, 23, 27
, 63, 29, 76,  1, 94, 52, 84, 37, 70, 45,  8, 31, 43,
       34, 30, 29, 24, 84, 32, 57, 36, 79,  9, 66, 86, 51, 56,  3, 58,  5, 73,  8, 72, 32, 94, 87, 35, 64, 82, 76, 77, 93, 35, 93, 65, 87,  8, 61
, 53, 84, 91,  6, 16,  9,  3, 10, 67, 34, 74, 15, 51,
       32, 34, 80, 52, 65, 60, 10,  7, 88, 99, 42, 54, 54, 47, 70, 27, 90, 22, 34,  5, 60, 76, 79, 23, 52,  6, 84, 15, 98, 32,  7, 71, 45, 36, 33
, 82, 47, 15, 82, 13, 37, 53, 38,  8,  2, 28, 47, 66,
       19, 11, 69, 58, 87, 34, 74, 16, 16,  2,  6,  6, 38, 45, 94, 27, 50, 25, 20, 86, 62, 96, 18, 45, 76, 57, 69, 28, 40, 71, 81,  9, 19, 92, 28
, 54,  4, 22, 14, 12, 31, 57, 56, 22, 42, 81, 53, 67,
       63, 42, 46, 22, 63, 16, 43, 86, 69, 32, 90, 25])

In [16]: lst = np.random.randint(1,100,300).tolist()

In [18]: len(lst)
Out[18]: 300

In [19]: type(lst)
Out[19]: list

In [20]: type(arr)
Out[20]: numpy.ndarray