marshal — Internal Python object serialization Last Updated : 05 Sep, 2022 Comments Improve Suggest changes Like Article Like Report Serializing a data means converting it into a string of bytes and later reconstructing it from such a string. If the data is composed entirely of fundamental Python objects, the fastest way to serialize the data is by using marshal module (For user defined classes, Pickle should be preferred). Marshal module contains functions that can read and write Python values in a binary format. The marshal module exists mainly to support reading and writing the “pseudo-compiled” code for Python modules of .pyc files. This module doesn’t support all Python object types. The following types are supported: booleans, integers, floating point numbers, complex numbers, strings, bytes, bytearrays, tuples, lists, sets, frozensets, dictionaries, and code objects, where it should be understood that tuples, lists, sets, frozensets and dictionaries are only supported as long as the values contained therein are themselves supported. The singletons None, Ellipsis and StopIteration can also be marshalled and unmarshalled. Functions : marshal.version : It indicates the format used by the module.Version 0 - Historical formatVersion 1 - Shares interned stringsVersion 2 - Uses a binary format for floating point numbersVersion 3 - Support for object instancing and recursionVersion 4 - Current Versionmarshal.dumps(value[, version]) : The function returns the bytes object that would be written to a file by dump(value, file). The version argument indicates the data format that dumps should use. A ValueError exception is raised if the value has (or contains an object that has) an unsupported type. Example Python3 # Python code to demonstrate serialization import marshal data = {12:'twelve', 'feep':list('ciao'), 1.23:4+5j, (1,2,3):u'wer'} bytes = marshal.dumps(data) print (bytes) Output {tfeep[tctitatog®Gáz®ó?y@@ittwelve(iiiuwer0}marshal.loads(bytes) : This function can reconstruct the data by converting the bytes-like object to a value. EOFError, ValueError or TypeError is raised if no value is found. Example Python3 # Python code to demonstrate de-serialization import marshal data = {12:'twelve', 'feep':list('ciao'), 1.23:4+5j, (1,2,3):u'wer'} bytes = marshal.dumps(data) redata = marshal.loads(bytes) print (redata) Output {12: 'twelve', 1.23: (4+5j), 'feep': ['c', 'i', 'a', 'o'], (1, 2, 3): u'wer'}marshal.dump(value, file[, version]) : This function is used to write the supported type value on the open writable binary file. A ValueError exception is raised if the value has an unsupported type.marshal.load(file) : This function reads one value from the open readable binary file and returns it. EOFError, ValueError or TypeError is raised if no value is read. Comment More infoAdvertise with us Next Article marshal — Internal Python object serialization A Aditi Gupta Improve Article Tags : Misc Python Python-Library Practice Tags : Miscpython Similar Reads pickle â Python object serialization Python is a widely used general-purpose, high-level programming language. In this article, we will learn about pickling and unpickling in Python using the pickle module. The Python Pickle ModuleThe pickle module is used for implementing binary protocols for serializing and de-serializing a Python ob 9 min read Object Serialization with Inheritance in Java Prerequisite: Serialization, Inheritance Serialization is a mechanism of converting the state of an object into a byte stream. 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