Can someone explain the codes for these two situations? Any help much appreciated. I’m using a spyder anaconda console if that helps

- Given:

```
In []: import numpy as np
In []: x = (20*np.random.rand(5, 7))//2
```

Enter an expression which sets columns 1, 3, and 4 to 1.5. Use advanced indexing combined with slicing for this.

- Given:

```
In []: import numpy as np
In []: x = np.zeros((5, 3))
In []: col = np.arange(5.0) ``
```

Enter an expression which adds col to column 1 of x.