Storing objects¶

One of the best ways to store objects in Python is by using the pickle module. Pickle is primarily used for serializing and deserializing Python object structures. In simpler terms, it converts a Python object into a byte stream, embedding all the information needed to reconstruct/unpack the object later in our code. This enables the object to be stored in a file, easily transported, and restored later. It can be loaded using import pickle.

Pickle dump¶

pickle.dump() function allow user to stor the the objects. Let create different objects, and store them.

weights=[20,15,19,21,16]
colors=('red','blue','green','black','white')
colors_set={'red','blue','green','black','white'}
prices = {'BMW': 50,'BENZ': 55,'Ford': 25,'Chevy': 30, 'GM': 28}

import pickle

file = open('backup.pkl','wb')
pickle.dump(weights, file)
pickle.dump(colors, file)
pickle.dump(colors_set, file)
pickle.dump(prices, file)
file.close()

Pickle load¶

pickle.load() is used to retrieve pickled data.

file = open('backup.pkl','wb')
weights=pickle.load(file)
colors=pickle.load(file)
colors_set=pickle.load(file)
prices=pickle.load(file)
file.close()

dill¶

The dill library is a drop-in alternative to pickle that can robustly handle function serialization.