18-serialization

This repository contains two Python scripts demonstrating how to serialize and deserialize Python objects using different methods.

What is Serialization?

Serialization is the process of converting a Python object (like a dictionary, list, or custom object) into a format that can be easily stored in a file or transmitted over a network. This format can be easily converted back to the original Python object later.

Why Use Serialization?

• Data Storage: You can save complex data structures to a file and reload them later. For example, you might save user preferences or application state so that they can be restored when the program runs again.
• Data Exchange: You can send data between different programs or services over a network. For example, a web service might send data to a client in JSON format.
• Persistence: Serialization helps in maintaining the state of an object between program runs.

Files

• json_serialization.py: Shows how to serialize and deserialize Python objects using JSON.
• pickle_serialization.py: Shows how to serialize and deserialize Python objects using pickle.

Usage

1. json_serialization.py

   • Serialize to JSON: This script serialize_to_json serializes a Python object to a JSON file (data.json).
   • Deserialize from JSON: It deserialize_from_json then deserializes the JSON file back into a Python object.

   Run the script with:

   python json_serialization.py

2. pickle_serialization.py

   • Serialize to pickle: This section serialize_to_pickle of the script serializes a Python object to a pickle file (data.pkl).
   • Deserialize from pickle: This section deserialize_from_pickle deserializes the pickle file (data.pkl) back into a Python object.

   Run the script with:

   python pickle_serialization.py