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It’s crucial to mention the importance of error handling when working with JSON in Python. For instance, when reading a JSON file, using try-except blocks can help manage potential issues like file-not-found errors or invalid JSON syntax. This ensures your application remains robust and simple to operate in case of unexpected data errors. Additionally, a brief note on JSON schema validation could enhance data integrity in applications, ensuring that the structure and data types meet predefined requirements.