Home >Backend Development >Python Tutorial >How to Share Data Between Processes in Python Multiprocessing?
Global Variable Updates Not Returned to Parent in Multiprocessing
In multiprocessing, a new Python instance is created for each process, resulting in distinct global states. Therefore, updates to global variables made by child processes remain invisible to the parent process.
Unpickable Objects
Multiprocessing relies on serialization through pickle. If the objects you wish to exchange cannot be pickled, they cannot be shared between processes. This includes any data stored within Manager objects or transmitted via Queues.
Alternative Approaches
The above is the detailed content of How to Share Data Between Processes in Python Multiprocessing?. For more information, please follow other related articles on the PHP Chinese website!