Last Updated : 03 Jul, 2025
JSON is a lightweight data format for data interchange which can be easily read and written by humans, easily parsed and generated by machines. It is a complete language-independent text format. To work with JSON data, Python has a built-in package called json.
json.dumps()json.dumps() method can convert a Python object into a JSON string.
Syntaxjson.dumps(dict, indent)
Parameters:
Example:
Python
import json
# Data to be written
dictionary ={
"id": "04",
"name": "sunil",
"department": "HR"
}
# Serializing json
json_object = json.dumps(dictionary, indent = 4)
print(json_object)
{ "id": "04", "name": "sunil", "department": "HR" }Python objects and their equivalent conversion to JSON: Python JSON Equivalent dict object list, tuple array str string int, float number True true False false None null json.dump()
json.dump() method can be used for writing to JSON file.
Syntaxjson.dump(dict, file_pointer)
Parameters:
Example:
Python
import json
# Data to be written
dictionary ={
"name" : "sathiyajith",
"rollno" : 56,
"cgpa" : 8.6,
"phonenumber" : "9976770500"
}
with open("sample.json", "w") as outfile:
json.dump(dictionary, outfile)
Output:
Note: For more information, refer to Working With JSON Data in Python
Let us see the differences in a tabular form -:
json.dump() json.dumps() json.dump() method used to write Python serialized object as JSON formatted data into a file. json.dumps() method is used to encodes any Python object into JSON formatted String.Its syntax is:
json.dump(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
Its syntax is:
json.dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
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