Locks
In Data Science, locks refer to a synchronization mechanism used to control access to shared resources in a multi-threaded or distributed environment. Locks are used to prevent multiple threads or processes from accessing the same resource simultaneously, which can lead to data corruption or inconsistency. Locks can be implemented in various ways, such as mutex locks, spin locks, and read-write locks. Mutex locks are the most common type of lock, which allow only one thread to access the resource at a time. Spin locks are used when the wait time for a lock is expected to be short, and they continuously check for the availability of the lock until it becomes available. Read-write locks allow multiple threads to read the resource simultaneously, but only one thread can write to the resource at a time.
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