Unpickling in Python
In Python, deserializing a pickled object entails turning it from its binary representation back to a Python object that can be used in code. This process is known as unpickling. Python’s built-in pickle module has functions for unpickling objects.
Example: Python Object Deserializing
In this example, we will load the pickle file in our Python code using the load() function of the pickle module. The pickle.load() function is used to deserialize and unpickle the object from the file. It takes one argument – the file object from which the object should be loaded. The unpickled object is stored in the variable data.
Python3
import pickle# load the data from a filewith open('data.pkl', 'rb') as f: data = pickle.load(f)# print the dataprint(data) |
Output
{'name': 'Alice', 'age': 30, 'gender': 'female'}
Difference Between Pickling and Unpickling in Python
In this article, we will explore the key differences between pickling and unpickling in Python. We will discuss the concepts of Python pickling and unpickling in detail, including their purposes, syntax, usage, and considerations for safe and secure pickling and unpickling operations. Let’s dive into the world of pickling and unpickling in Python.
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