Pickling and Unpickling in Python

Pickling and Unpickling in Python
With the algorithms of the pickle module we can serialize and de-serialize Python object structures."Pickling" denotes the process which converts a Python object hierarchy into a byte stream, and "unpickling" on the other hand is the inverse operation, i.e. the byte stream is converted back into an object hierarchy. What we call pickling (and unpickling) is also known as "serialization" or "flattening" a data structure. Objects which have been dumped to a file with pickle.dump can be reread into a program by using the method pickle.load(file). pickle.load() recognizes automatically, which format had been used for writing the data. The file data.pkl can be read in again by Python in the same or another session or by a different program.

import pickle

tour = {"cities":['paris','newdelhi','mumbai','surat'],
"hostels":["taj","pride","Radisson"]}

fh = open ("data.pkl","bw")

pickle.dump(tour,fh)

fh.close()

import pickle

f = open ("data.pkl","rb")

new_tour = pickle.load(f)

print(new_tour)

f.close()

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