EASILY CALLING VARIABLE IN EXECUTION

Python has a module that can store objects called pickles (pickles translated into Japanese) at high speed.
data allows you to easily save and read the following code:
· Official documentation pickle

import pickle

with open('data.pickle', 'wb') as f:
    pickle.dump(data,f,pickle.HIGHEST_PROTOCOL)

with open('data.pickle','rb') asf:
    data=pickle.load(f)

If the variable of a large size is Pandas' DataFrame, it is easier to save and load in a pickle.

df.to_pickle('data.pickle')
df = pd.read_pickle('data.pickle')

In the case of numpy ndarray, it is convenient to use it because it can be saved in binary format.If you try using the code below, you can save it in seconds and load it in less than a second.If you use a pickle, the processing time is about the same.

import numpy as np

na=np.random.rand (10000000,10)
np.save ('data.npy', na)
# If you want to compress it
# np.savez ('data.npz', na)

na=np.load('data.npy')