Conduct a performance evaluation study comparing the time of

execution of multiplying two matrices of real numbers using:

Standard Python $($with the famous triple nested loops matrix

multiplication$).$

Python with Numpy arrays and functions.

The matrices are to be initialized with random real $($floating point$)$

numbers $($say between $1$ and $50).$ Neither these initializations, nor any

printing, should be in the time measurement part.

Use different $($suitable$,$ based on results you obtained$)$ matrices sizes,

record the time results and plot them using matplotlib bars within

another program. You can limit your experiments to $nxn$ matrices $($if

no significant results can be obtained from general $nm$ matrices$).$

The Bars graph is something similar to the following graph, but with

suitable title, legends, axes titles, etc:

Notice that all time experiments should be done using same

machine to ensure results consistency.