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 linesIn 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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