How To Load/Save Data in Python

Loading/Saving data is a common task in numerical analysis. In python, the most convenient way is to use the save/load function provided in numpy package. An example is as the follows

import numpy as np
rand_array = np.random.rand(1,10);
np.save('rand.npy',rand_array);
b=np.load('rand.npy');

This example shows how to save an array in a .npy file and then load. This save/load function is quite similar to the save/load in Matlab except for that Matlab allows saving multiple arrays in single file while in Python one file can hold only one array. For comparison purpose, Matlab save/load code is shown below where two arrays with random numbers are save in the same file

rand_array=rand(1,10);
rand_array2 = rand(1,10);
save('rand_file','rand_array','rand_array2');
myFile = load('rand_file');