It is used to deserialize objects, i.e., converting the byte stream to object hierarchy.
It is used to serialize objects, i.e., to convert Python object hierarchy to byte stream.
It is used to move the file pointer to a specific location.
It is used in exception handling.
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The Correct Option isB
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In Python, pickling is a process utilized to serialize objects. Serialization involves converting a Python object hierarchy into a byte stream, allowing it to be easily saved to a file or transmitted over a network. The `pickle` module in Python provides the necessary functions to perform pickling and unpickling operations:
Serialization (Pickling): This process transforms a Python object into a byte stream. This is achieved using the `pickle.dump()` function or `pickle.dumps()` method for file and string representations, respectively. It facilitates the object's storage and transmission.
Deserialization (Unpickling): This is the reverse operation, wherein the byte stream is converted back into the original Python object. This is done using functions like `pickle.load()` or `pickle.loads()`.
Function
Description
pickle.dump(obj, file)
Serializes `obj` and writes it to a file object `file`.
pickle.dumps(obj)
Serializes `obj` to a byte stream.
pickle.load(file)
Deserializes a byte stream from a file object `file` back into a Python object.
pickle.loads(bytes_obj)
Deserializes `bytes_obj` back into a Python object.
The primary use-case of pickling is to persist Python objects in files or send them over a network while maintaining their state and structure, enabling efficient data storage and retrieval or inter-process communication.
Thus, the correct answer is: It is used to serialize objects, i.e., to convert Python object hierarchy to byte stream.
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Pickling is used to serialize objects, converting Python object hierarchy to byte stream.
Additional Context:
Serialization Process :
Converts objects to byte stream for storage/transmission