Working with JSON in Python
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Working with JSON in Python
JSON (JavaScript Object Notation) is a lightweight data interchange format that's easy for humans to read and write and easy for machines to parse and generate. Python provides a built-in module called json to work with JSON data efficiently.
To convert Python data to JSON, use json.dumps(). This function serializes Python objects like dictionaries into JSON-formatted strings. For example:
python
import json
data = {"name": "Alice", "age": 30, "city": "New York"}
json_string = json.dumps(data)
print(json_string)
To write JSON to a file, use json.dump():
python
with open("data.json", "w") as file:
json.dump(data, file)
To parse JSON from a string, use json.loads():
python
json_data = '{"name": "Alice", "age": 30, "city": "New York"}'
python_dict = json.loads(json_data)
print(python_dict["name"])
To read JSON from a file, use json.load():
python
with open("data.json", "r") as file:
content = json.load(file)
print(content)
The json module handles nested structures, lists, and more. It also allows customization using parameters like indent (for pretty printing) and sort_keys.
Working with JSON is crucial in web development, APIs, and data exchange. Python’s json module makes it seamless to parse, generate, and manage JSON data in your applications.
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