pickle.load python

import pickle
# load : get the data from file
data = pickle.load(open(file_path, "rb"))
# loads : get the data from var
data = pickle.load(var)

import pickle
# dump : put the data of the object in a file
pickle.dump(obj, open(file_path, "wb"))
# dumps : return the object in bytes
data = pickle.dump(obj)

# Python3 program to illustrate store  
# efficiently using pickle module  
# Module translates an in-memory Python object  
# into a serialized byte stream—a string of  
# bytes that can be written to any file-like object. 
  
import pickle 
  
def storeData(): 
    # initializing data to be stored in db 
    Omkar = {'key' : 'Omkar', 'name' : 'Omkar Pathak', 
    'age' : 21, 'pay' : 40000} 
    Jagdish = {'key' : 'Jagdish', 'name' : 'Jagdish Pathak', 
    'age' : 50, 'pay' : 50000} 
  
    # database 
    db = {} 
    db['Omkar'] = Omkar 
    db['Jagdish'] = Jagdish 
      
    # Its important to use binary mode 
    dbfile = open('examplePickle', 'ab') 
      
    # source, destination 
    pickle.dump(db, dbfile)                      
    dbfile.close() 
  
def loadData(): 
    # for reading also binary mode is important 
    dbfile = open('examplePickle', 'rb')      
    db = pickle.load(dbfile) 
    for keys in db: 
        print(keys, '=>', db[keys]) 
    dbfile.close() 
  
if __name__ == '__main__': 
    storeData() 
    loadData() 

omkarpathak-Inspiron-3542:~/Documents/Python-Programs$ python P60_PickleModule.py
Omkar => {'age': 21,  'name': 'Omkar Pathak',  'key': 'Omkar',  'pay': 40000}
Jagdish => {'age': 50,  'name': 'Jagdish Pathak',  'key': 'Jagdish',  'pay': 50000}