 创建100个服从正态分布的随机数，数组形态为2维数组。  创建两个数组，进行四则运算。

1. 创建100个服从正态分布的随机数，数组形态为2维数组。

import numpy as np

# 创建100个服从正态分布的随机数，平均值为0，标准差为1
random_array = np.random.normal(loc=0, scale=1, size=(10, 10))

print(random_array)

输出结果：

[[ 1.58403399 -0.10708586 -0.33032397 -0.03150921 -0.43497317 -1.12121572
  -0.0576707  -0.78138983  0.33553447 -0.47683704]
 [-0.5837484   1.09483089  0.32110942 -0.21779268  0.02049916  1.42242397
  -0.56208997  0.86234677 -0.03356192 -0.12947078]
 [-0.23615879 -0.68823262  1.80317244  1.26787951 -0.10116679 -0.47850269
   1.21534572 -0.08091856 -0.41615581 -0.99106531]
 [-0.71784405 -0.08084137  0.37621459  0.15882724  1.08070536 -0.22862208
  -0.44143177 -1.42693731 -0.27707092 -0.29132184]
 [-0.60747839  1.66943888  0.45077909  0.98323813  0.96330314 -0.61798954
  -0.16778588 -1.04463985 -0.18662717 -0.08653691]
 [ 1.36014834 -0.03517684 -0.55814769 -0.47150167  0.39782467  0.49947238
   0.66145669  0.33480156  1.24737369 -0.40054345]
 [-0.41557057 -0.10793134  1.94208362 -0.82784979  1.00463226 -0.10606322
   0.3020052   0.45040117 -1.01716158 -0.09485435]
 [-0.55478657 -0.51015973 -1.13279017 -0.03836616 -1.21272901 -0.56031507
   1.12403227  0.33412344 -0.74009205 -0.89363479]
 [ 0.41918952 -0.45942749 -0.94743309  0.1314538  -0.33664562 -0.57856932
   0.80216708  1.21615333  0.45063112  1.14037838]
 [-0.97330677  0.08434117  0.20790368 -0.70403177 -0.09798388 -0.30092771
   1.83698567  0.02022313  0.4296769  -0.56677122]]

2. 创建两个数组，进行四则运算。

import numpy as np

# 创建两个数组
a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])

# 四则运算
c = a + b
d = a - b
e = a * b
f = a / b

print(c)
print(d)
print(e)
print(f)

输出结果：

[[ 6  8]
 [10 12]]
[[-4 -4]
 [-4 -4]]
[[ 5 12]
 [21 32]]
[[0.2        0.33333333]
 [0.42857143 0.5       ]]