How to Use Pickle to Save Objects in Python

How to Use Pickle to Save Objects in Python Pickle, which is part of the Python library by default, is an important module whenever you need persistence between user sessions. As a module, pickle provides for the saving of Python objects between processes. Whether you  are programming for a database, game, forum, or some other application that must save information between sessions, pickle is useful for saving identifiers and settings. The pickle module can store things such as data types such as booleans, strings, and byte arrays, lists, dictionaries, functions, and more. Note:  The concept of pickling is also known as serialization, marshaling, and  flattening. However, the point is always the same- to save an object to a file for later retrieval. Pickling accomplishes this by writing the object as one long stream of bytes.   Pickle Example Code in Python To write an object to a file, you  use a code in the following syntax: import pickle object Object() filehandler open(filename, w) pickle.dump(object, filehandler) Heres how a real-world example  looks: import pickle import math object_pi math.pi file_pi open(filename_pi.obj, w) pickle.dump(object_pi, file_pi) This snippet writes the contents of object_pi to the file handler file_pi, which in turn is bound to the file filename_pi.obj in the directory of execution. To restore the value of the object to memory, load the object from the file. Assuming that pickle has not yet been imported for use, start by importing it: import pickle filehandler open(filename, r) object pickle.load(filehandler) The following code restores the value of pi: import pickle file_pi2 open(filename_pi.obj, r) object_pi2 pickle.load(file_pi2) The object is then ready for use once again, this time as object_pi2. You can, of course, reuse the original names, if you prefer. This example uses distinct names for clarity. Things to Remember About Pickle Keep these things in mind when using the pickle module: The pickle protocol is specific to Python – its not guaranteed to be cross-language compatible. You most likely cannot transfer the information to make it useful in Perl, PHP, Java, or other languages.There is also no guarantee of compatibility between different versions of Python. IThe incompatibility exists because not every Python data structure can be serialized by the module.By default, the latest version of the pickle protocol is used. It remains that way unless you manually change it. Tip:  Also find out  how to use shelve to save objects in Python  for another method of maintaining object continuity.