Question:

What is pickling in Python?

Updated On: May 28, 2025
  • 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.
Hide Solution
collegedunia
Verified By Collegedunia

The Correct Option is B

Approach Solution - 1

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()`.
FunctionDescription
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.
Was this answer helpful?
0
0
Hide Solution
collegedunia
Verified By Collegedunia

Approach Solution -2

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
  • Preserves object state and structure
  • Uses Python's pickle module

Key Features:

  • Handles complex Python objects (lists, dicts, classes)
  • Binary format (not human-readable)
  • Platform-independent

Correct Answer: (2) It is used to serialize objects, i.e., to convert Python object hierarchy to byte stream.

Was this answer helpful?
0
0