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How do you handle synchronization in Python concurrency?

Expert Python
Quick Answer Python concurrency synchronization: threading.Lock for mutual exclusion, RLock for reentrant locking, Semaphore limits concurrent access, Event for thread signaling, Condition for wait/notify. For asyncio: asyncio.Lock, asyncio.Semaphore, asyncio.Event. Queue (queue.Queue or asyncio.Queue) is the safest way to share data between concurrent units - no manual locking needed.

Answer

Use locks, semaphores, events, and conditions.
Prevent race conditions and ensure safe shared-resource access.
Critical in multi-threaded applications.
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