What are the differences between JSON and Python data types?

What are the main differences between JSON and Python data types?

JSON (JavaScript Object Notation) is a lightweight data interchange format, while Python data types are specific to the Python programming language. JSON supports data types like strings, numbers, arrays, and objects, whereas Python has more complex types like lists, tuples, and dictionaries.

Can you give examples of how to convert Python data types to JSON?

Sure! You can use the json module in Python. For example, to convert a Python dictionary to JSON, you can use json.dumps(your_dict). This will return a JSON string representation of the dictionary.

What about converting JSON back to Python data types?

To convert JSON back to Python, you can use json.loads(your_json_string). This will parse the JSON string and return a corresponding Python data structure, like a dictionary.

Are there any data types in Python that don't have a direct JSON equivalent?

Yes, some Python data types like sets and tuples do not have a direct equivalent in JSON. When converting, sets can be converted to lists, and tuples can be converted to lists as well.