If you’ve worked with web APIs, configuration files, or any kind of data exchange between applications, you’ve almost certainly run into JSON. It’s everywhere, from the response you get back from a weather API to the settings file your app reads on startup. Python makes working with JSON simple through a built-in module, and understanding it is one of the most practical skills you can pick up early.\u00a0<\/p>\n\n\n\n
Master JSON in Python for data exchange, APIs, and config files. Learn Python from zero to hero with HCL GUVI\u2019s <\/em>Python Zero to Hero Course<\/em><\/strong>. <\/em>Start your Python journey here<\/em><\/a><\/p>\n\n\n\n JSON (JavaScript Object Notation) is a lightweight, text-based data format used to exchange data between systems. In Python, the built-in json module converts JSON text into Python objects like dictionaries and lists, and converts Python objects back into JSON text. No installation needed \u2014 it ships with the standard library.<\/p>\n\n\n\n The naming convention is easy to remember: functions ending in s work with strings, and the ones without s work with files.<\/p>\n\n\n\n Once parsed, data behaves like a normal Python dictionary. You access values with square brackets, just as you would with any dict.<\/p>\n\n\n\n When your JSON lives in a file rather than a string, json.load() reads it directly:<\/p>\n\n\n\n The with open() context manager handles closing the file automatically, even if an error occurs while reading. This is the standard, safe way to read any file in Python not just JSON.<\/p>\n\n\n\n Since parsed JSON becomes a regular Python dictionary, you modify it using standard dictionary operations.<\/p>\n\n\n\nWhat Is JSON in Python?<\/strong><\/h2>\n\n\n\n
Understanding JSON in Plain Terms<\/strong><\/h2>\n\n\n\n
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The JSON Module: Your Starting Point<\/strong><\/h2>\n\n\n\n
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Function<\/strong><\/td> Purpose<\/strong><\/td> Input<\/strong><\/td> Output<\/strong><\/td><\/tr> json.loads()<\/td> Parse a JSON string<\/td> String<\/td> Python object<\/td><\/tr> json.load()<\/td> Parse a JSON file<\/td> File object<\/td> Python object<\/td><\/tr> json.dumps()<\/td> Convert Python object to JSON string<\/td> Python object<\/td> String<\/td><\/tr> json.dump()<\/td> Write Python object to a JSON file<\/td> Python object<\/td> File<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Reading JSON From a String<\/strong><\/h2>\n\n\n\n
json.loads() — load string — converts a JSON-formatted string directly into a Python dictionary:
import json
json_string = ‘{“name”: “John”, “age”: 30, “city”: “New York”}’ data = json.loads(json_string)
print<\/strong>(data)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nOutput: {‘name’: ‘John’, ‘age’: 30, ‘city’: ‘New York’}<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n print<\/strong>(data[‘name’])
Output: John<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\n\n JSON (JavaScript Object Notation)<\/strong> was originally derived from JavaScript object syntax, but it has evolved into a language-independent<\/strong> data format supported by virtually every major programming language. Thanks to its lightweight structure, human-readable syntax, and efficient parsing, JSON has become the standard format for data exchange in REST APIs<\/strong>, cloud services, and modern web applications.\n\n<\/div>\n\n\n\nReading JSON From a File<\/strong><\/h2>\n\n\n\n
import json
with open(‘data.json’) as<\/strong> f: json_data = json.load(f)
print<\/strong>(json_data)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\nOutput: {‘make’: ‘Tesla’, ‘model’: ‘Model 3’, ‘year’: 2022, ‘color’: ‘Red’}<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Working With Nested JSON<\/strong><\/h2>\n\n\n\n
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import json
json_string = ‘{“numbers”: [1, 2, 3], “car”: {“model”: “Model X”, “year”: 2022}}’ data = json.loads(json_string)
print<\/strong>(data[‘numbers’][0]) # Output: 1 print(data[‘car’][‘model’]) # Output: Model X<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n\n
Modifying JSON Data<\/strong><\/h2>\n\n\n\n