Standard Library
Python json Module
Python JSON Handling
Python json module parses and serializes data, with JSONEncoder.
Introduction to the Python json Module
The Python json module provides an easy way to encode and decode data in JSON (JavaScript Object Notation) format. JSON is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate.
Basic JSON Operations
Using the json module, you can convert Python objects such as dictionaries and lists into JSON strings and vice versa. The two main functions are json.dumps() for serialization and json.loads() for deserialization.
Handling JSON Files
Often, you'll need to work with JSON data stored in files. The json module provides json.dump() and json.load() to handle file operations.
Customizing JSON Encoding
The json module allows customization of JSON encoding through the JSONEncoder class. You can subclass JSONEncoder to modify how certain data types are encoded.
Conclusion
The Python json module is a powerful tool for handling JSON data. With functions for serialization, deserialization, and custom encoding, it facilitates seamless data interchange between your application and external data sources. In the next post, we will explore the re module for regular expressions in Python.
Standard Library
- datetime Module
- math Module
- random Module
- os Module
- sys Module
- json Module
- re Module
- time Module
- collections Module
- itertools Module
- argparse Module
- logging Module
- urllib Module
- shutil Module
- glob Module
- statistics Module
- calendar Module
- zipfile Module
- pickle Module
- threading Module
- subprocess Module
- Requests Module
- cMath Module
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