Python's multiprocess.Pool.Pool is a class that allows for easy distribution of multiple processes across available CPUs or cores. It provides methods for executing functions asynchronously and retrieving their results. With the Pool class, users can efficiently parallelize computations, reducing the time required for processing large amounts of data. By creating a pool of workers, the tasks can be distributed and executed concurrently, maximizing the utilization of system resources. This feature makes multiprocess.Pool.Pool a powerful tool for achieving faster and more efficient execution of tasks in Python programs.
Python Pool.Pool - 30 examples found. These are the top rated real world Python examples of multiprocess.Pool.Pool extracted from open source projects. You can rate examples to help us improve the quality of examples.