Python-Programs/Programs/P60_PickleModule.py at master · OmkarPathak/Python-Programs · GitHub

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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()
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# Author: OMKAR PATHAK

# In this example we will see how to use pickle module for storing the data efficiently!
# The pickle 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.

importpickle

defstoreData():
# 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

dbfile=open('examplePickle', 'ab') # Its important to use binary mode
pickle.dump(db, dbfile) # source, destination
dbfile.close()

defloadData():
dbfile=open('examplePickle', 'rb') # for reading also binary mode is important
db=pickle.load(dbfile)
forkeysindb:
print(keys,'=>',db[keys])
dbfile.close()

if__name__=='__main__':
storeData()
loadData()