from multiprocessing import Pool
      import time
      
      def work_function(work_data):
      	print(f"Processing {work_data}")
      def pool_handler():
        p = Pool(numthreads)  # Number of thread in the pool
        p.map(work_function, (["A", 5], ["B", 2], ["C", 1], ["D", 3]))
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      Multiprocessing pool

      Python public recipes

      The code defines a function work_function that takes an iterable of work_data objects. In the pool_handler function, the p variable is set to a Pool object. The pool will have two threads. The first thread will use the work_function to process the first work_data object, the second thread will use the work_function to process the second work_data object, and so on.

      Shortcut: multiprocessing.pool

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