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Learn how to seamlessly convert Python class objects to JSON format using the built-in `json` module. Explore examples and best practices for a smooth serialization process. --- Disclaimer/Disclosure: Some of the content was synthetically produced using various Generative AI (artificial intelligence) tools; so, there may be inaccuracies or misleading information present in the video. Please consider this before relying on the content to make any decisions or take any actions etc. If you still have any concerns, please feel free to write them in a comment. Thank you. --- In Python, converting class objects to JSON (JavaScript Object Notation) is a common task when dealing with data serialization. JSON is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. The json module in Python provides a convenient way to work with JSON data. Using the json Module The json module in Python provides two methods to convert class objects to JSON format: json.dumps() Method: This method is used to serialize Python objects to a JSON formatted string. [[See Video to Reveal this Text or Code Snippet]] The _dict_ attribute is used to retrieve the dictionary representation of the class object. json.dump() Method: This method is used to write a Python object in JSON format directly to a file-like object. [[See Video to Reveal this Text or Code Snippet]] Handling Custom Objects If your class contains custom objects or non-serializable data types, you can define a custom serialization method using the default parameter in json.dumps() or json.dump(). [[See Video to Reveal this Text or Code Snippet]] In the example above, the serialize_custom_object function is specified as the default parameter, providing a custom serialization method for the CustomObject class. By understanding these methods and incorporating custom serialization when needed, you can effectively convert class objects to JSON format in Python.