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Title: A Guide to Python json.loads and json.dumps
JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write. Python provides the json module to work with JSON data, offering two main functions: json.loads and json.dumps. In this tutorial, we will explore these functions and demonstrate their usage with code examples.
The json.loads function in Python is used to deserialize a JSON string into a Python object (e.g., a dictionary or a list).
In this example, the json_data string is a simple JSON representation of a person's information. The json.loads function is then used to convert this JSON string into a Python dictionary (python_object). The result is printed along with its type.
The json.dumps function in Python is used to serialize a Python object into a JSON-formatted string.
In this example, the python_object is a dictionary representing a person's information. The json.dumps function is used to convert this Python object into a formatted JSON string. The indent=2 parameter is optional but adds indentation for better readability in the output.
Understanding how to use json.loads and json.dumps is essential when working with JSON data in Python. These functions enable you to seamlessly convert between JSON strings and Python objects, facilitating the integration of JSON data into your Python applications.
Remember to handle potential exceptions, such as json.JSONDecodeError when using json.loads, and consider additional parameters available in both functions for customization based on your specific needs.
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