Cheat Sheet Python JSON - Journey Into Python

This cheat sheet Python JSON comes from the Python JSON learning post. You can also check out Python.org for more information on JSON. Cheat Sheet Python JSON is one of many cheat sheets that we are creating to help everyone out. It’s for those that always forget the small things(like me).

Python JSON is a syntax for storing and exchanging data, that uses text, written with JavaScript object notation.

Topics Covered

Syntax For Python JSON:

object = {
  "key":"value",
  "key":"value"
}

Tips:

To get the most compact JSON representation when using json.dump(), use (',', ': ') as default if indent is not None. You can also specify (',', ':') to eliminate any whitespace.

If specified, default should be a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a TypeError. If not specified, TypeError is raised.

If sort_keys is true (default: False), then the output of dictionaries will be sorted by key.

Helpful functions:

import json
json.loads(json)
json.dumps(dict, indent=4)
pprint(json)
x.keys()

Common mistakes:

Watch out for your syntax you could have missing or wrong location of commas, colons, double quotes.

Trying to find values before converting JSON to Python JSON dictionary. Use the type() function if you’re not sure what your variable is.

Typical Use:

Python JSON is commonly used for transmitting data in web applications (e.g., sending data from the server to the client, so it can be displayed on a web page, or vice versa).