converting JSON to string in Python

json.dumps() is much more than just making a string out of a Python object, it would always produce a valid JSON string (assuming everything inside the object is serializable) following the Type Conversion Table.

For instance, if one of the values is None, the str() would produce an invalid JSON which cannot be loaded:

>>> data = {'jsonKey': None}>>> str(data)"{'jsonKey': None}">>> json.loads(str(data))Traceback (most recent call last):  File "<stdin>", line 1, in <module>  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 338, in loads    return _default_decoder.decode(s)  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 366, in decode    obj, end = self.raw_decode(s, idx=_w(s, 0).end())  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 382, in raw_decode    obj, end = self.scan_once(s, idx)ValueError: Expecting property name: line 1 column 2 (char 1)

But the dumps() would convert None into null making a valid JSON string that can be loaded:

>>> import json>>> data = {'jsonKey': None}>>> json.dumps(data)'{"jsonKey": null}'>>> json.loads(json.dumps(data)){u'jsonKey': None}

There are other differences. For instance, {'time': datetime.now()} cannot be serialized to JSON, but can be converted to string. You should use one of these tools depending on the purpose (i.e. will the result later be decoded).