Update translation: lectures/python_essentials.md

Author: mmcky

lectures/python_essentials.md

@@ -1074,10 +1074,11 @@ def linapprox(f, a, b, n, x):
 ```{code-cell} python3
 import numpy as np
 
+rng = np.random.default_rng()
 n = 100
 ϵ_values = []
 for i in range(n):
-    e = np.random.randn()
+    e = rng.standard_normal()
     ϵ_values.append(e)
 ```
 
@@ -1091,9 +1092,10 @@ for i in range(n):
 这是一种解法。
 
 ```{code-cell} python3
+rng = np.random.default_rng()
 n = 100
-ϵ_values = [np.random.randn() for i in range(n)]
+ϵ_values = [rng.standard_normal() for i in range(n)]
 ```
 
 ```{solution-end}
-```
+```