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Python json library

The Python json library is the standard module for parsing and manipulating JSON (JavaScript Object Notation) data^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]. JSON is a lightweight, text-based format widely used for data interchange and storage in software engineering^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md].

Usage in Software Engineering

JSON serves as a popular standard for data structures and is frequently utilized in several scenarios^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]:

  • Web APIs: Applications communicate by passing JSON data back and forth over HTTP.
  • Configuration: Software applications store settings in JSON configuration files.
  • Databases: Data is often stored or cached in JSON format within databases.
  • Infrastructure: DevOps engineers may use JSON to define infrastructure configurations^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md].

Data Structure

The JSON format relies on two primary structures for representing objects and collections^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]:

  • Objects: Defined by curly braces {}, containing key-value pairs where keys and values are separated by a colon.
  • Arrays (Lists): Defined by square brackets [], containing ordered lists of values.

Core Functions

The library provides two primary functions for converting between Python objects and JSON strings^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]:

  • json.dumps(): Serializes a Python dictionary (or object) into a JSON formatted string.
  • json.loads(): Deserializes a JSON string back into a Python dictionary.

Implementation Considerations

While the json library handles standard Python dictionaries natively, custom objects (instances of classes) are not directly serializable^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]. To serialize custom objects, they must typically be converted into a standard dictionary format first, often by accessing the object's __dict__ attribute^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md].

A common workflow involves reading data from a .json file into a Python dictionary for processing, and then writing the modified dictionary back to the file as a JSON string^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md].

Sources

^[400-devops-09-scripting-language-python-introduction-part-3json-readme.md]