Any developers or programmers, or even marketers would not be strange to the data type – JSON. It’s one of the most popular and awesome data serialization languages. In fact, there is an alternative called YAML. I believe people who are familiar with Google ads API must know this data type. In this Python knowledge hub, I would elaborate what are their pros and cons respectively, and how you can better leverage them as a developer and marketer.
JSON vs YAML – What is JSON
Although most of us know what JSON is, let’s have a quick introduction. JSON is the short name for JavaScript Object Notation. This data type is based on a subset of JavaScript programming language standard ECMA-262 3rd Edition-December 1999. JSON is widely used with JavaScript but since it is language-independent, it can be used with any programming language.
JSON has a standard format for data storage. It stores data in key and value pairs. The records are separated by commas and both field names and strings are enclosed with double quotes. Tons of platforms and channels like Google, WeChat, etc leverage JSON to communicate with client-side and server-side. One of the most popular applications is API data transfer.
For more details regarding JSON converter, please check out this article
Python Tutorial 48: JSON, XML Converters to CSV, SQL, Google Sheets Data into JSON, XML