pickle module in python example
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title: a comprehensive guide to the pickle module in python
introduction:
the pickle module in python is a powerful tool for serializing and deserializing objects. serialization is the process of converting python objects into a byte stream, while deserialization is the reverse process of reconstructing the original objects from a byte stream. pickling allows you to store complex data structures, such as lists, dictionaries, and custom objects, in a compact binary format. this tutorial will guide you through the basics of using the pickle module with examples.
1. importing the pickle module:
before you start using the pickle module, you need to import it into your python script or jupyter notebook.
2. pickling and unpickling simple objects:
let's start with a simple example of pickling and unpickling basic python objects.
in this example, we pickled a list containing an integer, a string, and a dictionary to a file named data.pkl. then, we unpickled the data from the file and printed the loaded data.
3. pickling and unpickling custom objects:
you can also pickle and unpickle custom objects by implementing the _reduce_ method.
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