pickling and unpickling in Python

In Python, the terms "pickling" and "unpickling" refer to the processes of serialization and deserialization, which transform complex data structures like objects or data collections into a format that can be readily transmitted or stored and then rebuilt at a later time. It allows you to convert objects or data into a serialized form, which can be saved to a file, sent over a network, or stored in a database.

Pickling(Serialization):

Serialization is the process of converting a Python object into a byte stream or a string representation that can be easily stored or transmitted. The pickle module that comes with Python offers the ability to serialize data. The process of serialization is often referred to as "pickling" 

Example:

 where the pickle.dump() function is used to serialize the `data` dictionary and store it in a file named "data.pickle" using binary mode ('wb').

Unpickling(Deserialization):

Deserialization is the process of reconstructing a serialized object from its serialized form. The pickle module in Python offers the pickle.load() function for deserialization, which is commonly referred to as "unpickling."

Example:

To read the serialized data in binary mode ('rb') from the "data.pickle" file and reconstruct the original dictionary object(python data type), utilize the pickle.load() function.