JSON Objects in Python – Towards Data Science

Java Script Object Notation (JSON) is a light weight data format with many similarities to python dictionaries. JSON objects are useful because browsers can quickly parse them, which is ideal for transporting data between a client and a server. In this post, we will discuss how to use python’s JSON library to send and receive JSON data.

Let’s get started!

First, let’s inspect the following JSON packet with information about The Beatle’s album Yellow Submarine :

"album_title" : "Yellow Submarine",
"release_year" : 1966,
"won_grammy" : false,
"band" : "The Beatles",
"album_sale": null
"musicians" : ["John Lennon", "Paul McCartney", "George Harrison", "Ringo Starr"],
"studio" : {"studio_name": "Abbey Road Studios", "location": "London, England"}

In JSON objects, the keys are strings and the values can be strings, numbers (floats or ints), boolean values, lists, null, or another JSON object. There are a few differences between python dictionaries and JSON objects that

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