x = np.array([_ for _ in range(1000)]) This works, but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array. By contrast ...

It is getting harder to find home laser printers, and earlier printer technologies such as dot matrix are almost gone ... printer pins to NumPy matrices Python integration with CUPS using Tea4CUPS ...