How to run 2 different functions with Python 3 s multiprocessing Pool

Certainly! Using Python's multiprocessing module can be a powerful way to parallelize the execution of multiple functions. The Pool class from the multiprocessing module can be particularly useful for running functions concurrently. Here's a tutorial on how to run two different functions with Python 3's multiprocessing.Pool, along with a code example:
In this example, we have two functions (function1 and function2) that perform different computations. The run_parallel_functions function uses the multiprocessing.Pool class to run these functions in parallel. The map method is used to apply each function to its corresponding parameter in the parameters list.
Make sure to replace the functions and parameters with your specific use case. Additionally, adjust the number of processes (processes=2) based on your hardware capabilities. The if __name__ == "__main__": block is necessary to ensure that the multiprocessing code is only executed when the script is run as the main program.
Remember that not all functions can be easily parallelized, and it's important to consider the overhead of inter-process communication when deciding whether to use multiprocessing.
ChatGPT