Description
Coordinate access to shared resources in Python programs with useful lock implementations. It helps applications avoid race conditions when multiple processes or threads need to use the same file, resource, or critical section.
This is a concurrency library, not a system monitor. Locking mistakes can cause deadlocks or data corruption, so projects should test timeout, failure, and cleanup behavior under concurrent load.