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Merge pull request #3894 from AmrutaJayanti/Pickle
Serialization in Python
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# Serialization and Deserialization in Python
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Serialization in Python is the process of converting a Python object into a byte stream, which can then be easily stored or transmitted.
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Deserialization is the reverse process, where the byte stream is converted back into a Python object.
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In python, `pickle` module is used for this.
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- Serialization (Pickling): Converts Python objects (like lists, dictionaries, or custom objects) into a byte stream.
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- Deserialization (Unpickling): Converts the byte stream back into the original Python object.
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Some of the `pickle` module functions :
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- `pickle.dump(obj, file, protocol=None, *, fix_imports=True, buffer_callback=None)` : Serializes `obj` and writes it to the open file object `file`.
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- `pickle.dumps(obj, protocol=None, *, fix_imports=True, buffer_callback=None)` : Serializes `obj` to a byte stream and returns it.
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- `pickle.loads(bytes_object, *, fix_imports=True, encoding="ASCII", errors="strict", buffers=None)` : Deserializes `bytes_object` (a byte stream) to a Python object.
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#### Serializing and writing to file
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```python
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import pickle
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data = {'key': 'value', 'number': 42}
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with open('data.pkl', 'wb') as file:
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pickle.dump(data, file)
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```
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#### Reading and Deserializing from a File
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```python
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import pickle
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with open('data.pkl', 'rb') as file:
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loaded_data = pickle.load(file)
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print(loaded_data)
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```

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