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Serialization is the process of converting an object's state to a format that can be easily stored, transmitted, or reconstructed. JSON (JavaScript Object Notation) is a popular data interchange format and is widely used for data serialization. In Python, the json module provides functionality for encoding and decoding JSON data.
In this tutorial, we'll explore how to serialize Python objects to JSON using the json module with code examples.
Make sure you have Python installed on your system. You can download it from python.org.
The json module provides two methods for serialization: json.dumps() and json.dump().
Let's start with a simple example of serializing a Python dictionary to a JSON-formatted string.
In this example, the json.dumps() function is used to convert the Python dictionary data into a JSON-formatted string. The indent parameter is optional and is used for pretty-printing the JSON output.
You can also serialize Python lists using the same json.dumps() function.
If you want to serialize custom objects, you can use a custom serialization function by implementing the default parameter of json.dumps().
In this example, the custom_serializer function is used to convert the Person object into a dictionary that can be serialized to JSON.
To serialize Python objects to a JSON file, you can use the json.dump() function.
This example writes the serialized JSON data to a file named "output
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