Python threading Module Functions

The threading module in Python provides a way to create and manage threads, allowing for concurrent execution of code. This can be useful for improving the performance of programs that perform multiple tasks simultaneously. Below is a list of some commonly used functions and classes in the threading module, along with their descriptions and links to detailed guides for each function.

For a complete tutorial, visit Python threading Module Tutorial.

Python threading Module Functions Table

Function/Class Description
threading.Thread A class for creating and managing individual threads.
threading.Lock A class for creating a lock object, used to ensure that only one thread accesses a resource at a time.
threading.RLock A reentrant lock that allows a thread to acquire the same lock multiple times.
threading.Condition A class for condition variables, which allow threads to wait for some condition to be met.
threading.Event A class for event objects, which allow threads to wait for an event to be set.
threading.Semaphore A class for semaphore objects, used to control access to a resource by a set number of threads.
threading.BoundedSemaphore A bounded semaphore that prevents the semaphore’s value from going above a specified maximum.
threading.Timer A class for creating a timer that runs a function after a specified interval.
threading.Barrier A class for creating a barrier that blocks threads until a specified number of threads have reached it.
threading.local A class for creating thread-local data, which is data that is unique to each thread.
threading.active_count() Returns the number of currently active threads.
threading.current_thread() Returns the current thread object.
threading.enumerate() Returns a list of all currently active thread objects.
threading.main_thread() Returns the main thread object.
threading.get_ident() Returns the current thread’s identifier.
threading.get_native_id() Returns the native integral thread ID of the current thread.
threading.settrace() Sets a trace function for all threads started from the threading module.
threading.setprofile() Sets a profile function for all threads started from the threading module.
threading.stack_size() Returns the size of the thread stack used when creating new threads.

For more detailed information on each function, refer to the official Python documentation.

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