What methods can be used to optimize the speed of JSON data processing?

To optimize the speed of processing JSON data in Python, the following methods can be applied:

• Use faster parsing libraries, such as ujson or orjson, instead of the standard json.
• Minimize the number of serializations and deserializations by processing data in already parsed form.
• When working with large files, use streaming processing to avoid loading the entire JSON into memory.
• Cache parsing results if the same data is used multiple times.

Example of using orjson:

import orjson

json_bytes = orjson.dumps({'key': 'value'})
data = orjson.loads(json_bytes)

orjson is significantly faster than the standard json module.