Generate a one dimensional 1000 element array of uniformly distributed random numbers using the numpy.random module.

1. Calculate the mean and standard deviation of the array using numpy.mean() and numpy.std().
2. Choose some other random distribution and calculate its mean and standard deviation.

You can visualize the random distributions with matplotlib’s hist() function.