Json
The Python json module is a standard-library module for encoding Python objects as JSON and decoding JSON into Python objects.
A Pythonic Adventure: From Python basics to a working web app
The Python json module provides functions for encoding Python data structures as JSON and decoding JSON into Python values.
- How it is used
- Uses JSON to save structured coffee-shop orders and reload them later.
- How deep it goes
- Demonstrates importing json, dumping dictionaries or lists, formatting output, reading files, and recovering saved values.
- Examples
- Uses coffee orders, orders.json, multiple order dictionaries, and formatted JSON output.
- What you can do after
- Builds a small workflow that writes Python order data to JSON and reads it back.
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The Quick Python Book, Fourth Edition
JSON is a Python library for encoding and decoding JSON data.
- How it is used
- Handles structured data exchanged through APIs and other networked data workflows.
- How deep it goes
- Explains JSON structures, type mappings, decoding, encoding, pretty printing, and newline-delimited records without covering parser internals.
- Examples
- Uses weather and Chicago API responses, nested temperature lookup, pretty printing, JSON files, and newline-delimited weather records.
- What you can do after
- Apply JSON via Python’s json module to decode API responses, inspect nested values, and read or write JSON files.
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Python Workout: 50 ten-minute exercises
The Python standard-library json module serializes Python objects to JSON and parses JSON into Python objects.
- How it is used
- Processes JSON files and exchanges data between JSON-formatted strings and Python data structures.
- How deep it goes
- Explains load, loads, dump, file selection, and nested data organization through a multi-file statistics exercise.
- Examples
- Uses class score files containing subject dictionaries and demonstrates minimum, maximum, and average summaries.
- What you can do after
- Apply it via json.load and json.loads to read JSON, organize records, and analyze multiple files.
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Python Workout, Second Edition
The json module is Python's standard-library module for encoding Python objects as JSON and decoding JSON into Python objects.
- How it is used
- Processes JSON files and exchanges data between Python programs and web services or APIs.
- How deep it goes
- Explains load, loads, dump, file discovery, and nested aggregation through a multi-file score-analysis exercise.
- Examples
- Uses class score files containing arrays of subject dictionaries and summarizes each subject’s minimum, maximum, and average.
- What you can do after
- Builds a multi-file JSON score analyzer using json.load, glob, nested dictionaries, and aggregate calculations.
Related concepts
- JSONuses · JSON is a standardized, language-independent text format for representing structured data using objects, arrays, strings, numbers, Boolean values, and null.
- json.loadhas part · json.load() is a Python function that reads and parses JSON from a file-like object into the corresponding Python value.
- json.dump()has part · json.dump() is a Python standard-library function that serializes a Python object as JSON and writes the result to a file-like object.
- json.loads()used by · json.loads() is a Python function that parses JSON data from a string, bytes object, or bytearray and returns the corresponding Python object.
- deserializationuses · Deserialization is the process of reconstructing structured data or in-memory values from a serialized representation.
- data formatkind of · A data format is a defined representation, structure, and encoding scheme for storing, transmitting, exchanging, or interpreting data.
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