How i can get output as numpy for generating random numbers which is closer to both 0 and 1 in Float64

n = np.random.randn()

code in python

```
import numpy as np
for i in range(10):
n = np.random.randn()
print(n)
```

Output

```
-0.4473224332794838
0.5357461715087144
-0.05893440913028454
0.01697798466538489
-0.08155177013294897
1.6251740404687394
0.1333821970422605
0.4256883620078718
-1.2798846308240421
1.1278873504026543
```

as we can see the outputs are closer to both 0 and 1

how i can archive this with Julia code?