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Processes Locks: Multiprocessing Locks

Understand how to implement multiprocessing locks in Python to manage access to shared resources safely. Learn through practical examples how locks prevent output overlap in parallel processes, ensuring your concurrent applications run smoothly and data remains consistent.

When all programs accessing a shared resource are written in Python, the natural method to secure accesses is to use the multiprocessing.Lock objects provided by Python. That class is built around POSIX or Windows semaphores (depending on your operating system) ...