Web Reference: In this comprehensive guide, you’ll move beyond XML and JSON to explore several data formats that you can use to serialize data in Python. You’ll explore them based on their use cases, learning about their distinct categories. As said above, serializing is the process of converting the data into the form, byte stream, in which the data can be stored. This process is also called pickling or flattening or marshaling. And the reverse process of converting the byte stream into object form is called deserialization or unpickling. For this purpose, Python provides the followin... Before beginning to serialize data, it is important to identify or decide how the data should be structured during data serialization - flat or nested. The differences in the two styles are shown in the below examples.
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