

Note: In the following JSON, id is shown as null which is the default value assigned to it until a dashboard is saved.

When a user creates a new dashboard, a new dashboard JSON object is initialized with the following fields: Our focus here is going to be on the JSONB data type because it allows the contents to be indexed and queried with ease. The key difference between them is that JSON stores data in a raw format and JSONB stores data in a custom binary format.
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If you have used JSON data from another program or obtained as a string format of JSON, then it can easily be deserialized with load()/loads(), which is usually used to load from string, otherwise, the root object is in list or dict. In this tutorial youll learn how to read and write JSON-encoded data using. The load()/loads() method is used for it. The Deserialization of JSON means the conversion of JSON objects into their respective Python objects. It’s done by using the JSON module, which provides us with a lot of methods which among loads() and load() methods are gonna help us to read the JSON file. Python has a built-in package called json, which can be used to work with JSON data. It’s pretty easy to load a JSON object in Python.

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