- Python Design Patterns Tutorial
- Python Design Patterns - Home
- Introduction
- Python Design Patterns - Gist
- Model View Controller Pattern
- Python Design Patterns - Singleton
- Python Design Patterns - Factory
- Python Design Patterns - Builder
- Python Design Patterns - Prototype
- Python Design Patterns - Facade
- Python Design Patterns - Command
- Python Design Patterns - Adapter
- Python Design Patterns - Decorator
- Python Design Patterns - Proxy
- Chain of Responsibility Pattern
- Python Design Patterns - Observer
- Python Design Patterns - State
- Python Design Patterns - Strategy
- Python Design Patterns - Template
- Python Design Patterns - Flyweight
- Abstract Factory
- Object Oriented
- Object Oriented Concepts Implementation
- Python Design Patterns - Iterator
- Dictionaries
- Lists Data Structure
- Python Design Patterns - Sets
- Python Design Patterns - Queues
- Strings & Serialization
- Concurrency in Python
- Python Design Patterns - Anti
- Exception Handling
- Python Design Patterns Resources
- Quick Guide
- Python Design Patterns - Resources
- Discussions
Strings and Serialization
String serialization is the process of writing a state of object into a byte stream. In python, the “pickle” library is used for enabling serialization. This module includes a powerful algorithm for serializing and de-serializing a Python object structure. “Pickling” is the process of converting Python object hierarchy into byte stream and “unpickling” is the reverse procedure.
The demonstration of the pickle module is as follows −
import pickle #Here's an example dict grades = { 'Alice': 89, 'Bob': 72, 'Charles': 87 } #Use dumps to convert the object to a serialized string serial_grades = pickle.dumps( grades ) print(serial_grades) #Use loads to de-serialize an object received_grades = pickle.loads( serial_grades ) print(received_grades)
Output
The above program generates the following output −
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