分别创建一个6行6列的矩阵，计算这两个矩阵的相加、乘积，求两个矩阵的秩。

好的，以下是您所需的代码：

矩阵相加：

matrix1 = [[1, 2, 3, 4, 5, 6],
           [7, 8, 9, 10, 11, 12],
           [13, 14, 15, 16, 17, 18],
           [19, 20, 21, 22, 23, 24],
           [25, 26, 27, 28, 29, 30],
           [31, 32, 33, 34, 35, 36]]

matrix2 = [[36, 35, 34, 33, 32, 31],
           [30, 29, 28, 27, 26, 25],
           [24, 23, 22, 21, 20, 19],
           [18, 17, 16, 15, 14, 13],
           [12, 11, 10, 9, 8, 7],
           [6, 5, 4, 3, 2, 1]]

result = [[0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0]]

for i in range(len(matrix1)):
    for j in range(len(matrix1[0])):
        result[i][j] = matrix1[i][j] + matrix2[i][j]

print("矩阵相加的结果：")
for r in result:
    print(r)

矩阵乘积：

matrix1 = [[1, 2, 3, 4, 5, 6],
           [7, 8, 9, 10, 11, 12],
           [13, 14, 15, 16, 17, 18],
           [19, 20, 21, 22, 23, 24],
           [25, 26, 27, 28, 29, 30],
           [31, 32, 33, 34, 35, 36]]

matrix2 = [[36, 35, 34, 33, 32, 31],
           [30, 29, 28, 27, 26, 25],
           [24, 23, 22, 21, 20, 19],
           [18, 17, 16, 15, 14, 13],
           [12, 11, 10, 9, 8, 7],
           [6, 5, 4, 3, 2, 1]]

result = [[0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0]]

for i in range(len(matrix1)):
    for j in range(len(matrix2[0])):
        for k in range(len(matrix2)):
            result[i][j] += matrix1[i][k] * matrix2[k][j]

print("矩阵乘积的结果：")
for r in result:
    print(r)

矩阵秩：

import numpy as np

matrix1 = [[1, 2, 3, 4, 5, 6],
           [7, 8, 9, 10, 11, 12],
           [13, 14, 15, 16, 17, 18],
           [19, 20, 21, 22, 23, 24],
           [25, 26, 27, 28, 29, 30],
           [31, 32, 33, 34, 35, 36]]

matrix2 = [[36, 35, 34, 33, 32, 31],
           [30, 29, 28, 27, 26, 25],
           [24, 23, 22, 21, 20, 19],
           [18, 17, 16, 15, 14, 13],
           [12, 11, 10, 9, 8, 7],
           [6, 5, 4, 3, 2, 1]]

matrix = np.concatenate((matrix1, matrix2), axis=0)

rank = np.linalg.matrix_rank(matrix)

print("矩阵的秩为：", rank)

希望这些代码能够帮助到您！