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LDJJ-506 - [ ] [ ] 1. The `json` module in Python is used for converting Python data to JSON format and vice versa. To use this module, you first need to import it with `import json`. - [ ] [ ] 2. The `json module` can be used to convert a Python object into a JSON string. The `json.dumps()` function takes a Python object and returns it as a JSON JSON decoding. The process of converting JSON strings into Python objects is called JSON encoding. The json module provides a method called http://testurl.com/art/recycled can be used for converting Python objects into JSON strings, and another method called `json.loads()` can be used for converting JSON strings into Python objects. - [ ] [ ] 3. The `json.dumps()` function can be used to convert a Python object into a JSON string. It takes a Python object as an argument and returns a JSON string. The `json.loads()` function can be used to convert a JSON string into a Python object. It takes a JSON string as an argument and returns a Python object. - [ ] [ ] 4. The `json.loads()` function is used to convert a JSON string into a Python object. It takes a JSON string as an argument and returns a Python object. The `json.dumps()` function is used to convert a Python object into a JSON string. It takes a Python object as an argument and returns a JSON string. - [ ] [ ] 5. The `json` module in Python can be used for converting JSON strings into Python objects and vice versa. The `json.loads()` function is used to convert a JSON string into a Python object, and the `json.dumps()` function is used to convert a Python object into a JSON string. ### Conclusion The `json` module in Python is a powerful tool for working with JSON data. It provides simple and straightforward methods for converting Python objects into JSON strings and vice versa. The `json.dumps()` function is used to convert a Python object into a JSON string, while the `json.loads()` function is used to convert a JSON string into a Python object. Understanding these functions is essential for anyone working with JSON data in Python.

2011年9月20日241 分