To create a multi-threaded process in Python, you can make use of the threading
module.
Here's an example code snippet:
main.py337 chars18 lines
In this example, the my_function
method represents the code that you want to execute in each thread. The target
parameter of the threading.Thread()
function specifies the function that the thread should run. The args
parameter is used to pass in any arguments that the function requires.
Once the threads have been created, you can start them by calling their .start()
method. After the threads have completed their work, you can wait for them to finish by calling their .join()
method.
Note that Python has a Global Interpreter Lock (GIL), which means that only one thread can execute Python code at a time. This means that multi-threading is not always the most efficient approach to speeding up code in Python. In some cases, you may need to use multiprocessing or asynchronous I/O to achieve better performance.
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