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Synchronization in Python

What is synchronization?

Synchronization is how you coordinate multiple threads/processes so they:

  • don’t corrupt shared data
  • don’t run in the wrong order
  • can safely communicate

Why it matters

Without synchronization you can get:

  • race conditions
  • deadlocks
  • inconsistent reads

Common synchronization tools

For threads (threadingthreading)

  • LockLock, RLockRLock
  • SemaphoreSemaphore, BoundedSemaphoreBoundedSemaphore
  • EventEvent
  • ConditionCondition
  • BarrierBarrier

For processes (multiprocessingmultiprocessing)

  • multiprocessing.Lockmultiprocessing.Lock, RLockRLock
  • multiprocessing.Semaphoremultiprocessing.Semaphore
  • multiprocessing.Eventmultiprocessing.Event
  • multiprocessing.Conditionmultiprocessing.Condition

Design tip

Prefer designs that reduce shared mutable state:

  • message passing via queue.Queuequeue.Queue (threads)
  • multiprocessing.Queuemultiprocessing.Queue (processes)

When you must share state, use synchronization.

πŸ§ͺ Try It Yourself

Exercise 1 – Basic Lock Usage

Exercise 2 – Lock as Context Manager

Exercise 3 – Detect Locked State

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