python json loads vs load

Published: 23 December 2023
on channel: CodeTube

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JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write. In Python, the json module is commonly used to work with JSON data. Two important methods in this module for deserializing JSON data are json.loads() and json.load(). In this tutorial, we'll explore the differences between these two methods and provide examples to illustrate their usage.
The json.loads() method is used to deserialize a JSON string into a Python object. It takes a JSON-formatted string as an argument and returns a corresponding Python object (usually a dictionary or a list).
Output:
On the other hand, the json.load() method is used to deserialize a JSON file object into a Python object. It takes a file object (opened in read mode) as an argument and returns the corresponding Python object.
Let's assume we have a JSON file named data.json with the following content:
Now, let's use json.load() to read and deserialize the JSON data from the file:
Output:
Both methods return Python objects, such as dictionaries or lists, depending on the structure of the JSON data.
In summary, if you have a JSON-formatted string, use json.loads(). If you have a JSON file, use json.load().
Understanding these differences will help you choose the appropriate method based on the source of your JSON data in your Python projects.
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