Difference Between Pickling and Unpickling

The difference between Pickling and Unpickling is as follows:

Pickling Unpickling

Serialization process that converts a Python object into a binary representation.

Deserialization process that converts a binary representation back into a Python object.

Allows objects to be stored in a file or transmitted over a network.

Retrieves objects from a stored file or received data.

Uses the pickle.dump() function to write objects to a file or a stream.

Uses the pickle.load() function to read objects from a file or a stream.

Objects are converted into a binary format that is not human-readable.

The binary format is converted back into Python objects, which can be used in Python code.

Supports serialization of complex objects, including custom classes, functions, and data structures.

Supports deserialization of complex objects, including custom classes, functions, and data structures.

Can handle circular references and maintain object references during serialization.

Can restore object references during deserialization, preserving the original object relationships.



Difference Between Pickling and Unpickling in Python

In this article, we will explore the key differences between pickling and unpickling in Python. We will discuss the concepts of Python pickling and unpickling in detail, including their purposes, syntax, usage, and considerations for safe and secure pickling and unpickling operations. Let’s dive into the world of pickling and unpickling in Python.

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