Python JSON Introduction
JSON - JavaScript Object Notation
Introducing JSON:
JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format
that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java,JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.
JSON is built on two structures:
- A collection of name/value pairs. In various languages, this is realized as an object, record,
struct, dictionary, hash table, keyed list, or associative array.
values. In most languages, this is realized as an array, vector, list, or sequence.
WORKING WITH JSON DATA IN PYTHON:
PYTHON SUPPORTS JSON THROUGH ABUILT-IN PACKAGE CALLED JSON. TO USE THIS FEATURE, WE IMPORT THE JSON PACKAGE IN PYTHON SCRIPT. THE TEXT IN JSON IS DONE THROUGH QUOTEDSTRING WHICH CONTAINS VALUE IN KEY-VALUE MAPPING WITHIN { }. IT IS SIMILAR TO THE DICTIONARY IN PYTHON. JSON SHOWS AN API SIMILAR TO USERS OF STANDARD LIBRARY MARSHAL AND PICKLE MODULESAND PYTHON NATIVELY SUPPORTS JSON FEATURES.
FOR EXAMPLE:
# Python program showing use of json package
import json
# {key:value mapping}
a ={"Name":"cppSecrets", "Established":2017, "No_of_workers":200}
print(type(a))
# conversion to JSON done by dumps() function
b = json.dumps(a)
# printing the output
print(b)
print(type(b))
Output:
<class 'dict'>
{"Name": "cppSecrets", "Established": 2017, "No_of_workers": 200}
<class 'str'>
Conclusion:The JSON library in Python uses
dumps() function to convert the Python objects into their respective JSON object.In the above example a is dict type is a python object which is converted to JSON object b of type str.
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