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JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write. Python provides a built-in module called json to work with JSON data. Two commonly used functions in the json module are load and dump. In this tutorial, we will explore the differences between load and dump and provide code examples to illustrate their usage.
The json.load function is used to parse a JSON string and convert it into a Python object. It reads the JSON data from a file-like object (such as a file or a string) and returns the corresponding Python object.
In this example, the json.load function reads the JSON data from the file named 'example.json' and stores the resulting Python object in the variable data. The file is opened using a with statement to ensure that it is properly closed after reading.
The json.dump function is used to serialize a Python object into a JSON formatted string and write it to a file-like object. It takes two arguments: the Python object to be serialized and the file-like object to write the JSON data to.
In this example, the json.dump function serializes the Python dictionary data into a JSON-formatted string and writes it to the file named 'output.json'. The file is opened in write mode ('w').
Let's put both load and dump together in a more comprehensive example:
In this example:
Understanding the distinction between load and dump is crucial when working with JSON data in Python. load is for reading JSON data, while dump is for writing JSON data. Both functions play important roles in handling JSON in Python applications.
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