How do I copy dicts in Python across multiple processes?

Copying dictionaries across multiple processes in Python can be achieved using the `multiprocessing` module. This module allows you to create separate processes that can share or exchange data. To copy dictionaries efficiently, you can use shared memory or serialization techniques, such as `Manager` or `multiprocessing.Queue`. Below is an example of how to use a `Manager` to manage shared dictionaries in a multiprocessing environment.

Keywords: Python, multiprocessing, dictionaries, multiprocessing.Manager, shared memory, interprocess communication
Description: Learn how to copy and manage dictionaries across multiple processes in Python using the multiprocessing module, specifically how to utilize Manager for sharing data.
import multiprocessing

def modify_dict(shared_dict):
    shared_dict['key'] = 'value'

if __name__ == "__main__":
    manager = multiprocessing.Manager()
    shared_dict = manager.dict()
    
    p = multiprocessing.Process(target=modify_dict, args=(shared_dict,))
    p.start()
    p.join()
    
    print(shared_dict)  # Output: {'key': 'value'}
        

Keywords: Python multiprocessing dictionaries multiprocessing.Manager shared memory interprocess communication